Aaron Mishkin
Il - He/him
+41 21 693 89 27
EPFL › IC › IINFCOM › MLO
Expertise
Outside of work, I can usually be found climbing, hiking, or skiing.
Education
Computer Science
|
2013 – 2018
University of British Columbia
Directed by
David Poole
Computer Science
| Optimization for Machine Learning
2018 – 2020
University of British Columbia
Directed by
Mark Schmidt
Computer Science
| Optimization for Machine Learning
2020 – 2026
Stanford University
Directed by
Mert Pilanci
Awards
Best Poster
ICCOPT
2025
Graduate Research Fellowship
National Science Foundation
2020
Canada Graduate Scholarships - Doctoral
Natural Sciences and Engineering Research Council of Canada (NSERC)
2020
Canada Graduate Scholarships - Master's Program
National Science and Engineering Research Council of Canada (NSERC)
2018
Selected publications
Exploring the loss landscape of regularized neural networks via convex duality
Sungyoon Kim, Aaron Mishkin, Mert Pilanci
Published in International Conference on Learning Representations in 2025
Directional Smoothness and Gradient Methods: Convergence and Adaptivity
Aaron Mishkin*, Ahmed Khaled*, Yuanhao Wang, Aaron Defazio, and Robert M. Gower
Published in Neural Information Processing Systems in 2024
Optimal Sets and Solution Paths of ReLU Networks
Aaron Mishkin and Mert Pilanci
Published in International Conference on Machine Learning in 2023
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
Sharan Vaswani, Aaron Mishkin, Issam Laradji, Mark Schmidt, Gauthier Gidel, Simon Lacoste-Julien
Published in Neural Information Processing Systems in 2019