Volkan Cevher
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EPFL STI IEL LIONS
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Prix et distinctions
Marie Curie International Reintegration, Transnational Mobility Award
2010
ERC-StG
European Research Council
2011
Best Paper Award at AdvML-Frontiers Workshop
2023
Google Faculty Research Award
2019
Fellowship to IEEE (Institute of Electrical and Electronics Engineers)
IEEE
2023
Selected Publications
Deep‐Learning‐Assisted SICM for Enhanced Real‐Time Imaging of Nanoscale Biological Dynamics
Small Methods. 2025. DOI : 10.1002/smtd.202501080.On the Complexity of a Simple Primal-dual Coordinate Method
MATHEMATICAL PROGRAMMING. 2025. DOI : 10.1007/s10107-025-02247-8.Accelerating Spectral Clustering under Fairness Constraints
2025. Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 - 2025-07-19.Generalization of Noisy SGD in Unbounded Non-convex Settings
2025. Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 - 2025-07-19.IL-SOAR : Imitation Learning with Soft Optimistic Actor cRitic
2025. Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 - 2025-07-19.CHAMELEON: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning
2025. Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 - 2025-07-19.Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games
2025. Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 - 2025-07-19.Training Deep Learning Models with Norm-Constrained LMOs
2025. Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 - 2025-07-19.Best of Both Worlds: Regret Minimization versus Minimax Play
2025. Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 - 2025-07-19.Layer-wise Quantization for Quantized Optimistic Dual Averaging
2025. Forty-Second International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 - 2025-07-19.Adaptive Bilevel Optimization
ACM / IMS Journal of Data Science. 2025. DOI : 10.1145/3728478.Efficient Interpolation Between Extragradient And Proximal Methods For Weak MVIS
2025. The Thirteenth International Conference on Learning Representations, Singapore, 2025-04-24-2025-04-28.Faster Inference Of Flow-Based Generative Models Via Improved Data-Noise Coupling
2025. The Thirteenth International Conference on Learning Representations, Singapore, 2025-04-24-2025-04-28.How Gradient Descent Balances Features: A Dynamical Analysis For Two-Layer Neural Networks
2025. The Thirteenth International Conference on Learning Representations, Singapore, 2025-04-24-2025-04-28.Addressing Label Shift In Distributed Learning Via Entropy Regularization
2025. The Thirteenth International Conference on Learning Representations, Singapore, 2025-04-24-2025-04-28.Quantum-Peft: Ultra Parameter-Efficient Fine-Tuning
2025. The Thirteenth International Conference on Learning Representations, Singapore, 2025-04-24-2025-04-28.Certified Robustness Under Bounded Levenshtein Distance
2025. The Thirteenth International Conference on Learning Representations, Singapore, 2025-04-24-2025-04-28.Adversarial Training For Defense Against Label Poisoning Attacks
2025. The Thirteenth International Conference on Learning Representations, Singapore, 2025-04-24-2025-04-28.Single-pass Detection of Jailbreaking Input in Large Language Models
Transactions on Machine Learning Research. 2025.Hadamard product in deep learning: Introduction, Advances and Challenges
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2025. DOI : 10.1109/TPAMI.2025.3560423.Membership Inference Attacks against Large Vision-Language Models
2024. 38th Annual Conference on Neural Information Processing Systems, Vancouver Convention Center, 2024-12-10 - 2024-12-15.SAMPa: Sharpness-aware Minimization Parallelized
38th Annual Conference on Neural Information Processing Systems, Vancouver, BC, Canada, 2024-12-10 - 2024-12-15.REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 2024-07-21.Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 2024-07-21.Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks
Journal of Machine Learning Research. 2024.Truly No-Regret Learning in Constrained MDPs
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 2024-07-21. p. 36605 - 36653.Mixed Nash for Robust Federated Learning
Transactions on Machine Learning Research. 2024.Universal Gradient Methods for Stochastic Convex Optimization
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 2024-07-21.Graph generative deep learning models with an application to circuit topologies
Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-9020.Imitation Learning in Discounted Linear MDPs without exploration assumptions
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024.Improving SAM Requires Rethinking its Optimization Formulation
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024.High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.Robust NAS under adversarial training: benchmark, theory, and beyond
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.Revisiting Character-level Adversarial Attacks for Language Models
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024.On the Generalization of Stochastic Gradient Descent with Momentum
Journal of Machine Learning Research. 2024.Learning to Remove Cuts in Integer Linear Programming
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024.Efficient Continual Finite-Sum Minimization
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.Multilinear Operator Networks
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, 2024-05-07 - 2024-05-11.Generalization of Scaled Deep ResNets in the Mean-Field Regime
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.Efficient local linearity regularization to overcome catastrophic overfitting
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.Stable Nonconvex-Nonconcave Training via Linear Interpolation
2023. Thirty-seventh Conference on Neural Information Processing Systems, New Orleans, Louisiana, USA, December 10-16, 2023.A unified stochastic approximation framework for learning in games
Mathematical Programming. 2023. DOI : 10.1007/s10107-023-02001-y.Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks
2023. 37th Annual Conference on Neural Information Processing Systems, New Orleans, USA, December 10-16. 2023.Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling
2023. 37th Annual Conference on Neural Information Processing Systems, New Orleans, USA, December 10-16. 2023.Augmented Lagrangian Methods for Provable and Scalable Machine Learning
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-9613.Distributed Extra-Gradient With Optimal Complexity And Communication Guarantees
2023. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.Finding Actual Descent Directions For Adversarial Training
2023. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.Maximum Independent Set: Self-Training through Dynamic Programming
2023. 37th Conference on Neural Information Processing Systems (NeurIPS 2023)., New Orlean, USA, December 10-16. 2023.Regularization of polynomial networks for image recognition
2023. Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, 18-22 June, 2023.Alternation makes the adversary weaker in two-player games
2023. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orlean, USA, December 10-16. 2023.Federated Learning under Covariate Shifts with Generalization Guarantees
Transactions on Machine Learning Research. 2023.When do Minimax-fair Learning and Empirical Risk Minimization Coincide?
2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July 23-29, 2023.Robust Training and Verification of Deep Neural Networks
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-9223.What can online reinforcement learning with function approximation benefitfrom general coverage conditions
2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.Revisiting adversarial training for the worst-performing class
Transactions on Machine Learning Research. 2023.Solving stochastic weak Minty variational inequalities without increasing batch size
11th International Conference on Learning Representations ICLR2023, Kigali, Rwanda, May 1-5, 2023.Adversarial Training Should Be Cast As a Non-Zero-Sum Game
2023On the Convergence of Encoder-only Shallow Transformers
2023. 37th Annual Conference on Neural Information Processing Systems, New Orleans, USA, December 10-16. 2023.Universal and adaptive methods for robust stochastic optimization
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-9077.Benign Overfitting in Deep Neural Networks under Lazy Training
2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.DiGress: Discrete Denoising diffusion for graph generation
2023. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.Efficient Online Clustering with Moving Costs
2023. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orlean, USA, December 10-16. 2023.Regularization of polynomial networks for image recognition
2023. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, CANADA, JUN 17-24, 2023. p. 16123 - 16132. DOI : 10.1109/CVPR52729.2023.01547.Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.
2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.Improving Generalization of Pretrained Language Models
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-8664.Proximal Point Imitation Learning
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 - December 3, 2022.A 16-Channel Neural Recording System-on-Chip With CHT Feature Extraction Processor in 65-nm CMOS
IEEE Journal of Solid-State Circuits. 2022. DOI : 10.1109/JSSC.2022.3161296.Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 - December 3, 2022.UNDERGRAD: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees
2022. 39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 17-23, 2022.Sound and Complete Verification of Polynomial Networks
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 - December 3, 2022.A Natural Actor-Critic Framework for Zero-Sum Markov Games
2022. 39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 17-23, 2022.Extra Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisianna, USA, November 28-December 9, 2022.The spectral bias of polynomial neural networks
2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize
2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.Controlling the Complexity and Lipschitz Constant improves Polynomial Nets
2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
2022. 10th International Conference on Learning Representations (ICLR 2022), Virtual, April 25-29, 2022.On the Double Descent of Random Features Models Trained with SGD
2022. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, November 28 - December 3, 2022.Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization
2022. 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022), [ Virtual only] Valencia, Spain, March 28-30, 2022.Understanding Deep Neural Function Approximation in Reinforcement Learning via ϵ-Greedy Exploration
2022. Thirty-sixth Conference on Neural Information Processing Systems - NeurIPS 2022, New Orleans, USA, November 28 - December 3, 2022.Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisianna, USA, November 28-December 9, 2022.Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models
2022. 38th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 17-23, 2022.Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
2022. 36th Conference on Neural Information Processing Systems - NeurIPS 2022, New Orleans, USA, November 28 - December 3, 2022.Identifiability and Generalizability from Multiple Experts in Inverse Reinforcement Learning
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 - December 3, 2022.A Newton Frank-Wolfe method for constrained self-concordant minimization
Journal Of Global Optimization. 2022. DOI : 10.1007/s10898-021-01105-z.Generalization Properties of NAS under Activation and Skip Connection Search
2022. 36th Conference on Neural Information Processing Systems - NeurIPS 2022, New Orleans, USA, November 28 - December 3, 2022.No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation
2022. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, November 28 - December 9, 2022.Predicting in Uncertain Environments: Methods for Robust Machine Learning
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9118.Learning to sample in Cartesian MRI
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9981.On The Convergence Of Stochastic Primal-Dual Hybrid Gradient
Siam Journal On Optimization. 2022. DOI : 10.1137/19M1296252.Graph Embedding Methods for Graph Completion
2021Forward-reflected-backward method with variance reduction
Computational Optimization and Applications. 2021. DOI : 10.1007/s10589-021-00305-3.A 16-Channel Wireless Neural Recording System-on-Chip with CHT Feature Extraction Processor in 65nm CMOS
2021. 2021 IEEE Custom Integrated Circuits Conference (CICC), Virtual, April 25-30, 2021. DOI : 10.1109/CICC51472.2021.9431458.Convergence of adaptive algorithms for constrained weakly convex optimization
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets
2021. 38th International Conference on Machine Learning (ICML 2021), Online, July 18-24, 2021. p. 4337 - 4348.Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity
Siam Journal On Optimization. 2021. DOI : 10.1137/19M1244603.A first-order primal-dual method with adaptivity to local smoothness
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.Resource Trade-Offs in Circuits and Systems: from Neurotechnology to Communications
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-9082.Adaptation in Stochastic Algorithms: From Nonsmooth Optimization to Min-Max Problems and Beyond
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-8120.A reflected forward-backward splitting method for monotone inclusions involving Lipschitzian operators
Set-valued and Variational analysis. 2021. DOI : 10.1007/s11228-020-00542-4.Scalable Semidefinite Programming
SIAM Journal on Mathematics of Data Science. 2021. DOI : 10.1137/19M1305045.Sifting through the Noise: Universal First-Order Methods for Stochastic Variational Inequalities
2021. NeurIPS 2021 : Thirty-fifth Conference on Neural Information Processing Systems, Sydney, Australia [Virtual only], December 6-14, 2021.Kernel Conjugate Gradient Methods with Random Projections
Applied and Computational Harmonic Analysis. 2021. DOI : 10.1016/j.acha.2021.05.004.A Plug-and-Play Deep Image Prior
2021. International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, Canada, June 6-11, 2021. DOI : 10.1109/ICASSP39728.2021.9414879.Asynchronous sar adc with unit length capacitors and constant common mode monotonic switching
WO2021161163 . 2021.An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation
Information-Theoretic Methods in Data Science; Cambridge University Press, 2021. p. 487 - 528.Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach
2021. International Conference on Machine Learning (ICML), ELECTR NETWORK, Jul 18-24, 2021.Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
2020An AC-Coupled Wideband Neural Recording Front-End With Sub-1 mm2×fJ/conv-step Efficiency and 0.97 NEF
IEEE Solid-State Circuits Letters. 2020. DOI : 10.1109/LSSC.2020.3013993.Optimization for Reinforcement Learning: From a single agent to cooperative agents
IEEE Signal Processing Magazine. 2020. DOI : 10.1109/MSP.2020.2976000.Machine Learning From Distributed, Streaming Data [From the Guest Editors]
IEEE Signal Processing Magazine. 2020. DOI : 10.1109/MSP.2020.2972654.Lipschitz constant estimation for Neural Networks via sparse polynomial optimization
2020. 8th International Conference on Learning Representations, Addis Ababa, ETHIOPIA, April 26-30, 2020.Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections
Journal of Machine Learning Research. 2020.Double-Loop Unadjusted Langevin Algorithm
2020. 37th International Conference on Machine Learning (ICLM 2020), Virtual, July 12-18, 2020.Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
2020. 37th International Conference on Machine Learning (ICML), Virtual, July 13-18, 2020.Convergence without Convexity: Sampling, Optimization, and Games
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-10349.Random extrapolation for primal-dual coordinate descent
2020. 37th International Conference on Machine Learning (ICML 2020), Online, July 13-18, 2020.Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms
Journal of Machine Learning Research. 2020.Conditional gradient methods for stochastically constrained convex minimization
2020. 37th International Conference on Machine Learning (ICML), virtual, July 12-18, 2020.A new regret analysis for Adam-type algorithms
2020. 37th International Conference on Machine Learning (ICLM 2020), Virtual, July 13-18, 2020.An adaptive primal-dual framework for nonsmooth convex minimization
Mathematical Programming Computation. 2020. DOI : 10.1007/s12532-019-00173-3.Scalable Learning-Based Sampling Optimization For Compressive Dynamic MRI
2020. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 4-8, 2020. p. 8584 - 8588. DOI : 10.1109/ICASSP40776.2020.9053345.Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces
Applied and Computational Harmonic Analysis. 2020. DOI : 10.1016/j.acha.2018.09.009.Interactive Teaching Algorithms for Inverse Reinforcement Learning
2019. 28th International Joint Conference on Artificial Intelligence, 2019, Macao, China, August 10-16, 2019. p. 2692 - 2700.Interactive Teaching Algorithms for Inverse Reinforcement Learning
2019. The 28th International Joint Conference on Artificial Intelligence, 2019., Macao, China, August 10-16, 2019.Chemical machine learning with kernels: The impact of loss functions
International Journal Of Quantum Chemistry. 2019. DOI : 10.1002/qua.25872.Inertial Three-Operator Splitting Method and Applications
SIAM Conference on Optimization - OP17, Vancouver, British Columbia, Canada, May 22-25, 2017.Ultrasensitive hyperspectral imaging and biodetection enabled by dielectric metasurfaces
Nature Photonics. 2019. DOI : 10.1038/s41566-019-0394-6.On the convergence of stochastic primal-dual hybrid gradient
2019Streaming Low-Rank Matrix Approximation With An Application To Scientific Simulation
SIAM Journal on Scientific Computing. 2019. DOI : 10.1137/18M1201068.Convergence of the Exponentiated Gradient Method with Armijo Line Search
Journal of Optimization Theory and Applications. 2019. DOI : 10.1007/s10957-018-1428-9.Data-driven Measurement Designs for Magnetic Resonance Imaging
Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9651.Rethinking Sampling in Parallel MRI: A Data-Driven Approach
2019. 27th European Signal Processing Conference (EUSIPCO), Coruña, Spain, September 2-6, 2019. DOI : 10.23919/EUSIPCO.2019.8903150.Scalable Convex Optimization Methods for Semidefinite Programming
Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9598.An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints
2019. NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, Vancouver, Canada, December 8-14, 2019.A Learning-Based Framework for Quantized Compressed Sensing
IEEE Signal Processing Letters. 2019. DOI : 10.1109/LSP.2019.2898350.UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization
2019. 33rd Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 8-14, 2019.Fast and Provable ADMM for Learning with Generative Priors
2019. 33rd Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 8-14, 2019.Iterative Classroom Teaching
2019. 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, Hawaii, USA, January 27 – February 1, 2019. p. 5684 - 5692. DOI : 10.1609/aaai.v33i01.33015684.A Conditional Gradient-Based Augmented Lagrangian Framework
2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.Stochastic Frank-Wolfe for Composite Convex Minimization
2019. NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, Vancouver, Canada, December 8-14, 2019.Robust Adaptive Decision Making: Bayesian Optimization and Beyond
Lausanne, EPFL, 2019. DOI : 10.5075/epfl-thesis-9147.Efficient learning of smooth probability functions from Bernoulli tests with guarantees.
2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator
2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.Overlapping Multi-Bandit Best Arm Identification
2019. The 2019 IEEE International Symposium on Information Theory (ISIT), Paris, France, July 7-12, 2019. p. 2544 - 2548. DOI : 10.1109/ISIT.2019.8849327.On Certifying Non-Uniform Bounds against Adversarial Attacks
2019. 36th International Conference on Machine Learning (ICML)'2019, Long Beach, USA, June 9-15, 2019.Almost surely constrained convex optimization
2019. 36th International Conference on Machine Learning (ICML 2019), Long Beach, USA, June 9-15, 2019.Near-Optimal Noisy Group Testing via Separate Decoding of Items
IEEE Journal of Selected Topics In Signal Processing. 2018. DOI : 10.1109/JSTSP.2018.2844818.On the linear convergence of the stochastic gradient method with constant step-size
Optimization Letters. 2018. DOI : 10.1007/s11590-018-1331-1.Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms
2018A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming
2018. the 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, July 10-15, 2018.Online Adaptive Methods, Universality and Acceleration
2018. 32nd Conference on Neural Information Processing Systems conference (NIPS 2018), Montreal, Canada, December 3-8, 2018. p. 6500 - 6509.Near-Optimal Noisy Group Testing via Separate Decoding of Items
2018. IEEE International Symposium on Information Theory, Colorado, USA., June 17-22. 2018. p. 2311 - 2315. DOI : 10.1109/ISIT.2018.8437667.Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods
2018. 35th International Conference on Machine Learning, Stockholm, Sweden, July 10 -15, 2018.Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces
2018. 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, July 10-15, 2018.A Smooth Primal-Dual Optimization Framework for Nonsmooth Composite Convex Minimization
SIAM Journal on Optimization. 2018. DOI : 10.1137/16M1093094.Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants
2018. 1st International Symposium on Integrated Circuits and Systems (ISICAS), Taormina, Italy, September 02-03, 2018. p. 3929 - 3941. DOI : 10.1109/TCSI.2018.2853983.Learning-Based Hardware Design for Data Acquisition Systems
Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8693.Adversarially Robust Optimization with Gaussian Processes
2018. Conference on Neural Information Processing Systems (NIPS), Montreal, 2018.Learning without Smoothness and Strong Convexity
Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8765.Stochastic Three-Composite Convex Minimization with a Linear Operator
2018. 21st International Conference on Artificial Intelligence and Statistics (AISTATS) 2018, Lanzarotte, Spain, April 9-11, 2018.A single-phase, proximal path-following framework
Mathematics of Operations Research. 2018. DOI : 10.1287/moor.2017.0907.Chemical machine learning with kernels: The key impact of loss functions
2018Adversarially Robust Optimization with Gaussian Processes
2018. 32nd Conference on Neural Information Processing Systems (NIPS), Montreal, CANADA, Dec 02-08, 2018.Smoothing Alternating Direction Methods for Fully Nonsmooth Constrained Convex Optimization
Large-Scale and Distributed Optimization; Springer, 2018.Mirrored Langevin Dynamics
2018. Thirty-second Conference on Neural Information Processing Systems (NIPS), Montréal. p. 2878 - 2887.Finding Mixed Nash Equilibria of Generative Adversarial Networks
2018. IEEE International Conference on Machine Learning (ICML)’ 2019, Long Beach, USA, June 9-15, 2019.Let’s be honest: An optimal no-regret framework for zero-sum games
2018. 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, July 10-15, 2018.An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems
2018. ACM International Conference on Computing Frontiers 2018, Ischia, Italy, May 8-10, 2018. p. 228 - 231. DOI : 10.1145/3203217.3203260.Robust Maximization of Non-Submodular Objectives
2018. International Conference on Artificial Intelligence and Statistics (AISTATS), Lanzarote, Canary Islands, April, 9-11, 2018.Learning-Based Compressive MRI
IEEE Transactions on Medical Imaging (T-MI). 2018. DOI : 10.1109/TMI.2018.2832540.Stochastic Forward-Douglas-Rachford Splitting for Monotone Inclusions
Stochastic Forward Douglas-Rachford Splitting Method for Monotone Inclusions; Springer International Publishing, 2018.An Eight lanes 7Gb/s/pin Source Synchronous Single-Ended RX with Equalization and Far-End Crosstalk Cancellation for Backplane Channels
IEEE Journal of Solid State Circuits. 2018. DOI : 10.1109/JSSC.2017.2783679.An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems
2018. 15th ACM International Conference on Computing Frontiers, Ischia, ITALY, May 08-10, 2018. p. 228 - 231. DOI : 10.1145/3203217.3203260.A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization
IEEE Transactions on Signal Processing. 2018. DOI : 10.1109/TSP.2018.2870353.Smoothing technique for nonsmooth composite minimization with linear operator
2017Lower Bounds on Active Learning for Graphical Model Selection
2017. The 20th International Conference on Artificial Intelligence and Statistics (AISTATS 2017), Fort Lauderdale, Florida, USA, April 20-22, 2017.Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization
2017. 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA, December 4-9, 2017.Learning-based subsampling
US10082551 ; US2017109650 . 2017.An Adaptive Sublinear-Time Block Sparse Fourier Transform
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2017. 21st International Conference on Artificial Intelligence and Statistics (AISTATS), Lanzarotte, Spain, April 9-11, 2017.A Distributed Algorithm for Partitioned Robust Submodular Maximization
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2017. Conference on Neural Information Processing Systems (NIPS), Long Beach, California, December 2017.General Proximal Gradient Method: A Case for Non-Euclidean Norms
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IEEE Transactions on Signal Processing. 2005. DOI : 10.1109/TSP.2004.838947.An acoustic multiple target tracker
2005. IEEE Statistical Signal Processing Conference (SSP), Bordeaux, France, July, 2005. p. 509 - 514. DOI : 10.1109/SSP.2005.1628648.Proposal strategies for joint state-space tracking with particle filters
2005. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Philadelphia, PA, March 18-23, 2005. p. 1081 - 1084. DOI : 10.1109/ICASSP.2005.1415596.Vehicle tracking using acoustic and video sensors
2004. Army Science Conference (ASC), Orlando, FL, November, 2004.Acoustic node calibration using helicopter sounds and Monte Carlo markov chain methods
2004. IEEE DSP Workshop, Taos Ski Valley, NM, August, 2004. p. 347 - 351. DOI : 10.1109/DSPWS.2004.1437973.Fast initialization of particle filters using a modified Metropolis-Hastings algorithm: Mode-hungry approach
2004. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Montreal, Canada, May, 2004. p. 129 - 132. DOI : 10.1109/ICASSP.2004.1326211.Tracking of multiple wideband targets using passive sensor arrays and particle filters
2002. IEEE DSP Workshop, Callaway Gardens, GA, October, 2002. p. 72 - 77. DOI : 10.1109/DSPWS.2002.1231079.Wavelet packet best basis search using generalized Renyi entropy
2002. IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Canada, 2002. p. 1005 - 1008. DOI : 10.1109/CCECE.2002.1013081.2-D sensor position perturbation analysis: Equivalence to AWGN on array outputs
2002. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Washington DC, August, 2002. p. 219 - 223. DOI : 10.1109/SAM.2002.1191032.Sensor array calibration via tracking with the extended Kalman filter
2001. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Salt Lake City, Utah, USA, May 2001. p. 2817 - 2820. DOI : 10.1109/ICASSP.2001.940232.Learning to Remove Cuts in Integer Linear Programming
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024.Graph generative deep learning models with an application to circuit topologies
Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-9020.Improving SAM Requires Rethinking its Optimization Formulation
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024.Robust NAS under adversarial training: benchmark, theory, and beyond
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.Generalization of Scaled Deep ResNets in the Mean-Field Regime
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.Efficient Continual Finite-Sum Minimization
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.Revisiting Character-level Adversarial Attacks for Language Models
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024.Efficient local linearity regularization to overcome catastrophic overfitting
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.Imitation Learning in Discounted Linear MDPs without exploration assumptions
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024.On the Generalization of Stochastic Gradient Descent with Momentum
Journal Of Machine Learning Research. 2024-01-01.Stable Nonconvex-Nonconcave Training via Linear Interpolation
2023-09-21. Thirty-seventh Conference on Neural Information Processing Systems, New Orleans, Louisiana, USA, December 10-16, 2023.Efficient Online Clustering with Moving Costs
2023. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orlean, USA, December 10-16. 2023.Maximum Independent Set: Self-Training through Dynamic Programming
2023. 37th Conference on Neural Information Processing Systems (NeurIPS 2023)., New Orlean, USA, December 10-16. 2023.Alternation makes the adversary weaker in two-player games
2023. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orlean, USA, December 10-16. 2023.Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks
2023. 37th Annual Conference on Neural Information Processing Systems, New Orleans, USA, December 10-16. 2023.Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling
2023. 37th Annual Conference on Neural Information Processing Systems, New Orleans, USA, December 10-16. 2023.On the Convergence of Encoder-only Shallow Transformers
2023. 37th Annual Conference on Neural Information Processing Systems, New Orleans, USA, December 10-16. 2023.Regularization of polynomial networks for image recognition
2023-01-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, CANADA, JUN 17-24, 2023. p. 16123-16132. DOI : 10.1109/CVPR52729.2023.01547.Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.
2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.Benign Overfitting in Deep Neural Networks under Lazy Training
2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.What can online reinforcement learning with function approximation benefitfrom general coverage conditions
2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.Universal and adaptive methods for robust stochastic optimization
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-9077.Robust Training and Verification of Deep Neural Networks
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-9223.Adversarial Training Should Be Cast As a Non-Zero-Sum Game
2023When do Minimax-fair Learning and Empirical Risk Minimization Coincide?
2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July 23-29, 2023.Federated Learning under Covariate Shifts with Generalization Guarantees
Transactions on Machine Learning Research. 2023.Augmented Lagrangian Methods for Provable and Scalable Machine Learning
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-9613.Regularization of polynomial networks for image recognition
2023. Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, 18-22 June, 2023.Improving Generalization of Pretrained Language Models
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-8664.Distributed Extra-Gradient With Optimal Complexity And Communication Guarantees
2023. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.Finding Actual Descent Directions For Adversarial Training
2023. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.DiGress: Discrete Denoising diffusion for graph generation
2023. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.Solving stochastic weak Minty variational inequalities without increasing batch size
11th International Conference on Learning Representations ICLR2023, Kigali, Rwanda, May 1-5, 2023.Revisiting adversarial training for the worst-performing class
Transactions on Machine Learning Research. 2023.A Natural Actor-Critic Framework for Zero-Sum Markov Games
2022. 39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 17-23, 2022.UNDERGRAD: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees
2022. 39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 17-23, 2022.No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation
2022. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, November 28 - December 9, 2022.Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisianna, USA, November 28-December 9, 2022.Extra Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisianna, USA, November 28-December 9, 2022.Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 - December 3, 2022.Predicting in Uncertain Environments: Methods for Robust Machine Learning
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9118.Generalization Properties of NAS under Activation and Skip Connection Search
2022. 36th Conference on Neural Information Processing Systems - NeurIPS 2022, New Orleans, USA, November 28 - December 3, 2022.Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
2022. 36th Conference on Neural Information Processing Systems - NeurIPS 2022, New Orleans, USA, November 28 - December 3, 2022.On the Double Descent of Random Features Models Trained with SGD
2022. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, November 28 - December 3, 2022.Understanding Deep Neural Function Approximation in Reinforcement Learning via ϵ-Greedy Exploration
2022. Thirty-sixth Conference on Neural Information Processing Systems - NeurIPS 2022, New Orleans, USA, November 28 - December 3, 2022.Proximal Point Imitation Learning
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 - December 3, 2022.Identifiability and Generalizability from Multiple Experts in Inverse Reinforcement Learning
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 - December 3, 2022.Sound and Complete Verification of Polynomial Networks
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 - December 3, 2022.On The Convergence Of Stochastic Primal-Dual Hybrid Gradient
Siam Journal On Optimization. 2022-01-01. DOI : 10.1137/19M1296252.Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models
2022. 38th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 17-23, 2022.Learning to sample in Cartesian MRI
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9981.A 16-Channel Neural Recording System-on-Chip With CHT Feature Extraction Processor in 65-nm CMOS
IEEE Journal of Solid-State Circuits. 2022. DOI : 10.1109/JSSC.2022.3161296.Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization
2022. 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022), [ Virtual only] Valencia, Spain, March 28-30, 2022.High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize
2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.Controlling the Complexity and Lipschitz Constant improves Polynomial Nets
2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.The spectral bias of polynomial neural networks
2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
2022. 10th International Conference on Learning Representations (ICLR 2022), Virtual, April 25-29, 2022.A Newton Frank-Wolfe method for constrained self-concordant minimization
Journal Of Global Optimization. 2022. DOI : 10.1007/s10898-021-01105-z.Forward-reflected-backward method with variance reduction
Computational Optimization and Applications. 2021-08-19. DOI : 10.1007/s10589-021-00305-3.A 16-Channel Wireless Neural Recording System-on-Chip with CHT Feature Extraction Processor in 65nm CMOS
2021-05-17. 2021 IEEE Custom Integrated Circuits Conference (CICC), Virtual, April 25-30, 2021. DOI : 10.1109/CICC51472.2021.9431458.An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity
Siam Journal On Optimization. 2021-01-01. DOI : 10.1137/19M1244603.A Plug-and-Play Deep Image Prior
2021. International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, Canada, June 6-11, 2021. DOI : 10.1109/ICASSP39728.2021.9414879.Sifting through the Noise: Universal First-Order Methods for Stochastic Variational Inequalities
2021. NeurIPS 2021 : Thirty-fifth Conference on Neural Information Processing Systems, Sydney, Australia [Virtual only], December 6-14, 2021.Convergence of adaptive algorithms for constrained weakly convex optimization
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.A first-order primal-dual method with adaptivity to local smoothness
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.Subquadratic Overparameterization for Shallow Neural Networks
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach
2021-01-01. International Conference on Machine Learning (ICML), ELECTR NETWORK, Jul 18-24, 2021.Asynchronous sar adc with unit length capacitors and constant common mode monotonic switching
WO2021161163 . 2021.Adaptation in Stochastic Algorithms: From Nonsmooth Optimization to Min-Max Problems and Beyond
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-8120.Resource Trade-Offs in Circuits and Systems: from Neurotechnology to Communications
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-9082.Kernel Conjugate Gradient Methods with Random Projections
Applied and Computational Harmonic Analysis. 2021. DOI : 10.1016/j.acha.2021.05.004.The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets
2021. 38th International Conference on Machine Learning (ICML 2021), Online, July 18-24, 2021. p. 4337-4348.A reflected forward-backward splitting method for monotone inclusions involving Lipschitzian operators
Set-valued and Variational analysis. 2021. DOI : 10.1007/s11228-020-00542-4.Scalable Semidefinite Programming
SIAM Journal on Mathematics of Data Science. 2021. DOI : 10.1137/19M1305045.An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation
Information-Theoretic Methods in Data Science; Cambridge University Press, 2021. p. 487-528.Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
2020-11-05An AC-Coupled Wideband Neural Recording Front-End With Sub-1 mm2×fJ/conv-step Efficiency and 0.97 NEF
IEEE Solid-State Circuits Letters. 2020-08-04. DOI : 10.1109/LSSC.2020.3013993.Machine Learning From Distributed, Streaming Data [From the Guest Editors]
Ieee Signal Processing Magazine. 2020-05-01. DOI : 10.1109/MSP.2020.2972654.Optimization for Reinforcement Learning: From a single agent to cooperative agents
Ieee Signal Processing Magazine. 2020-05-01. DOI : 10.1109/MSP.2020.2976000.Lipschitz constant estimation for Neural Networks via sparse polynomial optimization
2020-04-26. 8th International Conference on Learning Representations, Addis Ababa, ETHIOPIA, April 26-30, 2020.On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems
2020. 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Virtual, December 6-12, 2020.Convergence without Convexity: Sampling, Optimization, and Games
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-10349.Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms
Journal of Machine Learning Research. 2020.Random extrapolation for primal-dual coordinate descent
2020. 37th International Conference on Machine Learning (ICML 2020), Online, July 13-18, 2020.Conditional gradient methods for stochastically constrained convex minimization
2020. 37th International Conference on Machine Learning (ICML), virtual, July 12-18, 2020.Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
2020. 37th International Conference on Machine Learning (ICML), Virtual, July 13-18, 2020.A new regret analysis for Adam-type algorithms
2020. 37th International Conference on Machine Learning (ICLM 2020), Virtual, July 13-18, 2020.Double-Loop Unadjusted Langevin Algorithm
2020. 37th International Conference on Machine Learning (ICLM 2020), Virtual, July 12-18, 2020.Scalable Learning-Based Sampling Optimization For Compressive Dynamic MRI
2020. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 4-8, 2020. p. 8584-8588. DOI : 10.1109/ICASSP40776.2020.9053345.Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections
Journal of Machine Learning Research. 2020.An adaptive primal-dual framework for nonsmooth convex minimization
Mathematical Programming Computation. 2020. DOI : 10.1007/s12532-019-00173-3.Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces
Applied and Computational Harmonic Analysis. 2020. DOI : 10.1016/j.acha.2018.09.009.Interactive Teaching Algorithms for Inverse Reinforcement Learning
2019-08-10. The 28th International Joint Conference on Artificial Intelligence, 2019., Macao, China, August 10-16, 2019.Interactive Teaching Algorithms for Inverse Reinforcement Learning
2019-08-10. 28th International Joint Conference on Artificial Intelligence, 2019, Macao, China, August 10-16, 2019. p. 2692–2700.Chemical machine learning with kernels: The impact of loss functions
International Journal Of Quantum Chemistry. 2019-05-05. DOI : 10.1002/qua.25872.Inertial Three-Operator Splitting Method and Applications
SIAM Conference on Optimization - OP17, Vancouver, British Columbia, Canada, May 22-25, 2017.Infoscience
Learning to Remove Cuts in Integer Linear Programming
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024.Graph generative deep learning models with an application to circuit topologies
Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-9020.Improving SAM Requires Rethinking its Optimization Formulation
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024.Robust NAS under adversarial training: benchmark, theory, and beyond
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.Generalization of Scaled Deep ResNets in the Mean-Field Regime
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.Efficient Continual Finite-Sum Minimization
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.Revisiting Character-level Adversarial Attacks for Language Models
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024.Efficient local linearity regularization to overcome catastrophic overfitting
2024. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7-11, 2024.Imitation Learning in Discounted Linear MDPs without exploration assumptions
2024. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, July 21-27, 2024.On the Generalization of Stochastic Gradient Descent with Momentum
Journal Of Machine Learning Research. 2024-01-01.Stable Nonconvex-Nonconcave Training via Linear Interpolation
2023-09-21. Thirty-seventh Conference on Neural Information Processing Systems, New Orleans, Louisiana, USA, December 10-16, 2023.Efficient Online Clustering with Moving Costs
2023. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orlean, USA, December 10-16. 2023.Maximum Independent Set: Self-Training through Dynamic Programming
2023. 37th Conference on Neural Information Processing Systems (NeurIPS 2023)., New Orlean, USA, December 10-16. 2023.Alternation makes the adversary weaker in two-player games
2023. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orlean, USA, December 10-16. 2023.Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks
2023. 37th Annual Conference on Neural Information Processing Systems, New Orleans, USA, December 10-16. 2023.Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling
2023. 37th Annual Conference on Neural Information Processing Systems, New Orleans, USA, December 10-16. 2023.On the Convergence of Encoder-only Shallow Transformers
2023. 37th Annual Conference on Neural Information Processing Systems, New Orleans, USA, December 10-16. 2023.Regularization of polynomial networks for image recognition
2023-01-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, CANADA, JUN 17-24, 2023. p. 16123-16132. DOI : 10.1109/CVPR52729.2023.01547.Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.
2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.Benign Overfitting in Deep Neural Networks under Lazy Training
2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.What can online reinforcement learning with function approximation benefitfrom general coverage conditions
2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July, 23-29, 2023.Universal and adaptive methods for robust stochastic optimization
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-9077.Robust Training and Verification of Deep Neural Networks
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-9223.Adversarial Training Should Be Cast As a Non-Zero-Sum Game
2023When do Minimax-fair Learning and Empirical Risk Minimization Coincide?
2023. 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, July 23-29, 2023.Federated Learning under Covariate Shifts with Generalization Guarantees
Transactions on Machine Learning Research. 2023.Augmented Lagrangian Methods for Provable and Scalable Machine Learning
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-9613.Regularization of polynomial networks for image recognition
2023. Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, 18-22 June, 2023.Improving Generalization of Pretrained Language Models
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-8664.Distributed Extra-Gradient With Optimal Complexity And Communication Guarantees
2023. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.Finding Actual Descent Directions For Adversarial Training
2023. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.DiGress: Discrete Denoising diffusion for graph generation
2023. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.Solving stochastic weak Minty variational inequalities without increasing batch size
11th International Conference on Learning Representations ICLR2023, Kigali, Rwanda, May 1-5, 2023.Revisiting adversarial training for the worst-performing class
Transactions on Machine Learning Research. 2023.A Natural Actor-Critic Framework for Zero-Sum Markov Games
2022. 39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 17-23, 2022.UNDERGRAD: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees
2022. 39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 17-23, 2022.No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation
2022. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, November 28 - December 9, 2022.Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisianna, USA, November 28-December 9, 2022.Extra Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisianna, USA, November 28-December 9, 2022.Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 - December 3, 2022.Predicting in Uncertain Environments: Methods for Robust Machine Learning
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9118.Generalization Properties of NAS under Activation and Skip Connection Search
2022. 36th Conference on Neural Information Processing Systems - NeurIPS 2022, New Orleans, USA, November 28 - December 3, 2022.Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
2022. 36th Conference on Neural Information Processing Systems - NeurIPS 2022, New Orleans, USA, November 28 - December 3, 2022.On the Double Descent of Random Features Models Trained with SGD
2022. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, November 28 - December 3, 2022.Understanding Deep Neural Function Approximation in Reinforcement Learning via ϵ-Greedy Exploration
2022. Thirty-sixth Conference on Neural Information Processing Systems - NeurIPS 2022, New Orleans, USA, November 28 - December 3, 2022.Proximal Point Imitation Learning
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 - December 3, 2022.Identifiability and Generalizability from Multiple Experts in Inverse Reinforcement Learning
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 - December 3, 2022.Sound and Complete Verification of Polynomial Networks
2022. 36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November 28 - December 3, 2022.On The Convergence Of Stochastic Primal-Dual Hybrid Gradient
Siam Journal On Optimization. 2022-01-01. DOI : 10.1137/19M1296252.Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models
2022. 38th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, July 17-23, 2022.Learning to sample in Cartesian MRI
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9981.A 16-Channel Neural Recording System-on-Chip With CHT Feature Extraction Processor in 65-nm CMOS
IEEE Journal of Solid-State Circuits. 2022. DOI : 10.1109/JSSC.2022.3161296.Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization
2022. 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022), [ Virtual only] Valencia, Spain, March 28-30, 2022.High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize
2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.Controlling the Complexity and Lipschitz Constant improves Polynomial Nets
2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.The spectral bias of polynomial neural networks
2022. 10th International Conference on Learning Representations (ICLR), Virtual, April 25-29, 2022.Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
2022. 10th International Conference on Learning Representations (ICLR 2022), Virtual, April 25-29, 2022.A Newton Frank-Wolfe method for constrained self-concordant minimization
Journal Of Global Optimization. 2022. DOI : 10.1007/s10898-021-01105-z.Forward-reflected-backward method with variance reduction
Computational Optimization and Applications. 2021-08-19. DOI : 10.1007/s10589-021-00305-3.A 16-Channel Wireless Neural Recording System-on-Chip with CHT Feature Extraction Processor in 65nm CMOS
2021-05-17. 2021 IEEE Custom Integrated Circuits Conference (CICC), Virtual, April 25-30, 2021. DOI : 10.1109/CICC51472.2021.9431458.An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity
Siam Journal On Optimization. 2021-01-01. DOI : 10.1137/19M1244603.A Plug-and-Play Deep Image Prior
2021. International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, Canada, June 6-11, 2021. DOI : 10.1109/ICASSP39728.2021.9414879.Sifting through the Noise: Universal First-Order Methods for Stochastic Variational Inequalities
2021. NeurIPS 2021 : Thirty-fifth Conference on Neural Information Processing Systems, Sydney, Australia [Virtual only], December 6-14, 2021.Convergence of adaptive algorithms for constrained weakly convex optimization
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.A first-order primal-dual method with adaptivity to local smoothness
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.Subquadratic Overparameterization for Shallow Neural Networks
2021. 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 6-14, 2021.Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach
2021-01-01. International Conference on Machine Learning (ICML), ELECTR NETWORK, Jul 18-24, 2021.Asynchronous sar adc with unit length capacitors and constant common mode monotonic switching
WO2021161163 . 2021.Adaptation in Stochastic Algorithms: From Nonsmooth Optimization to Min-Max Problems and Beyond
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-8120.Resource Trade-Offs in Circuits and Systems: from Neurotechnology to Communications
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-9082.Kernel Conjugate Gradient Methods with Random Projections
Applied and Computational Harmonic Analysis. 2021. DOI : 10.1016/j.acha.2021.05.004.The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets
2021. 38th International Conference on Machine Learning (ICML 2021), Online, July 18-24, 2021. p. 4337-4348.A reflected forward-backward splitting method for monotone inclusions involving Lipschitzian operators
Set-valued and Variational analysis. 2021. DOI : 10.1007/s11228-020-00542-4.Scalable Semidefinite Programming
SIAM Journal on Mathematics of Data Science. 2021. DOI : 10.1137/19M1305045.An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation
Information-Theoretic Methods in Data Science; Cambridge University Press, 2021. p. 487-528.Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
2020-11-05An AC-Coupled Wideband Neural Recording Front-End With Sub-1 mm2×fJ/conv-step Efficiency and 0.97 NEF
IEEE Solid-State Circuits Letters. 2020-08-04. DOI : 10.1109/LSSC.2020.3013993.Machine Learning From Distributed, Streaming Data [From the Guest Editors]
Ieee Signal Processing Magazine. 2020-05-01. DOI : 10.1109/MSP.2020.2972654.Optimization for Reinforcement Learning: From a single agent to cooperative agents
Ieee Signal Processing Magazine. 2020-05-01. DOI : 10.1109/MSP.2020.2976000.Lipschitz constant estimation for Neural Networks via sparse polynomial optimization
2020-04-26. 8th International Conference on Learning Representations, Addis Ababa, ETHIOPIA, April 26-30, 2020.On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems
2020. 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Virtual, December 6-12, 2020.Convergence without Convexity: Sampling, Optimization, and Games
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-10349.Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms
Journal of Machine Learning Research. 2020.Random extrapolation for primal-dual coordinate descent
2020. 37th International Conference on Machine Learning (ICML 2020), Online, July 13-18, 2020.Conditional gradient methods for stochastically constrained convex minimization
2020. 37th International Conference on Machine Learning (ICML), virtual, July 12-18, 2020.Efficient Proximal Mapping of the 1-path-norm of Shallow Networks
2020. 37th International Conference on Machine Learning (ICML), Virtual, July 13-18, 2020.A new regret analysis for Adam-type algorithms
2020. 37th International Conference on Machine Learning (ICLM 2020), Virtual, July 13-18, 2020.Double-Loop Unadjusted Langevin Algorithm
2020. 37th International Conference on Machine Learning (ICLM 2020), Virtual, July 12-18, 2020.Scalable Learning-Based Sampling Optimization For Compressive Dynamic MRI
2020. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 4-8, 2020. p. 8584-8588. DOI : 10.1109/ICASSP40776.2020.9053345.Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections
Journal of Machine Learning Research. 2020.An adaptive primal-dual framework for nonsmooth convex minimization
Mathematical Programming Computation. 2020. DOI : 10.1007/s12532-019-00173-3.Optimal Rates for Spectral Algorithms with Least-Squares Regression over Hilbert Spaces
Applied and Computational Harmonic Analysis. 2020. DOI : 10.1016/j.acha.2018.09.009.Interactive Teaching Algorithms for Inverse Reinforcement Learning
2019-08-10. The 28th International Joint Conference on Artificial Intelligence, 2019., Macao, China, August 10-16, 2019.Interactive Teaching Algorithms for Inverse Reinforcement Learning
2019-08-10. 28th International Joint Conference on Artificial Intelligence, 2019, Macao, China, August 10-16, 2019. p. 2692–2700.Chemical machine learning with kernels: The impact of loss functions
International Journal Of Quantum Chemistry. 2019-05-05. DOI : 10.1002/qua.25872.Inertial Three-Operator Splitting Method and Applications
SIAM Conference on Optimization - OP17, Vancouver, British Columbia, Canada, May 22-25, 2017.Doctorant·es actuel·les
Pedro Abranches De Carvalho, Luca Viano, Thomas Michaelsen Pethick, Zhenyu Zhu, Andrej Janchevski, Leello Tadesse Dadi, Zhengqing Wu, Ioannis Mavrothalassitis, Yongtao Wu, Elias Abad Rocamora, Melis Ilayda Bal, Wanyun Xie, Leyla Naz Candogan, Pol Puigdemont Plana, Arshia Afzal
A dirigé les thèses EPFL de
Anastasios Kyrillidis, Cosimo Aprile, Marwa El Halabi, Yen-Huan Li, Ilija Bogunovic, Baran Gözcü, Alp Yurtsever, Ya-Ping Hsieh, Arda Uran, Ahmet Alacaoglu, Paul Thierry Yves Rolland, Thomas Sanchez, Rabeeh Karimi Mahabadi, Mehmet Fatih Sahin, Ali Kavis, Fabian Latorre, Igor Krawczuk
Cours
EECS Seminar: Advanced Topics in Machine Learning
Students learn about advanced topics in machine learning, artificial intelligence, optimization, and data science. Students also learn to interact with scientific work, analyze and understand strengths and weaknesses of scientific arguments of both theoretical and experimental results.
Mathematics of data: from theory to computation
Ce cours donne un aperçu des principales avancées en matière d'optimisation continue et d'analyse statistique pour l'apprentissage automatique. Nous passons en revue les formulations et modèles d'apprentissage récents, leurs garanties, décrivons les techniques de résolution et leurs compromis.
Online learning in games
This course provides an overview of recent developments in online learning, game theory, and variational inequalities and their point of intersection with a focus on algorithmic development. The primary approach is to lay out the different problem classes and their associated optimal rates.
Reinforcement learning
Ce cours décrit la théorie et les méthodes de l'apprentissage par renforcement, qui tourne autour de la prise de décision dans des conditions d'incertitude. Le cours couvre les algorithmes classiques en RL ainsi que les algorithmes récents sous l'angle de l'optimisation contemporaine.
Training Large Language Models
This PhD-level course dives deep into the training of Large Language Models (LLMs), focusing on the complementary roles of datasets, pre-training and post training methodologies in shaping model performance and scalability.