Daniyar Chumbalov
Birth date: 09.06.1993
Fields of expertise
Machine Learning
Bayesian Inference
Active Learning
Reinforcement Learning
Bayesian Inference
Active Learning
Reinforcement Learning
Biography
I am currently a PhD student in CS at EPFL Information and Network Dynamics lab (INDY) under the supervision of Prof. Matthias Grossglauser. I received M.Sc. in Applied Mathematics at EPFL and B.Sc. in Mathematics and Computer Science at Moscow Institute of Physics and Technology (MIPT).In my previous research at MIPT I worked on theoretical problems in coding theory and communication complexity, supervised by Dr. Andrei Romashchenko.
Current work
Active comparison-based searchActive reinforcement learning scheme for searching in a database of items using relational comparisons.
Learning Embeddings
Variational inference for learning representations of items based on their triplets comparisons.
Publications
Selected publications
| D Chumbalov, L Maystre, M Grossglauser ICML 2020 |
Scalable and Efficient Comparison-based Search without Features |
| D. Chumbalov, A. Romashchenko IEEE Transactions on Information Theory 2018 |
On the Combinatorial Version of the Slepian–Wolf Problem |
| D. Chumbalov, A. Romashchenko 40th International Symposium on Mathematical Foundations of Computer Science (MFCS 2015) |
Randomized Polynomial Time Protocol for Combinatorial Slepian-Wolf Problem |
| D. Chumbalov Eighth International Conference on Computability, Complexity and Randomness (CCR 2013) |
Combinatorial Version of the Slepian-Wolf Coding Theorem for Binary Strings |