Ilyas Fatkhullin

According to our database, Ilyas Fatkhullin authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence.

Ilyas Fatkhullin, Niao He

CoRR, 2024

Stochastic Optimization under Hidden Convexity.

Ilyas Fatkhullin, Niao He, Yifan Hu

CoRR, 2024

2023

Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods.

Junchi Yang, Xiang Li, Ilyas Fatkhullin, Niao He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Momentum Provably Improves Error Feedback!

Ilyas Fatkhullin, Alexander Tyurin, Peter Richtárik

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies.

Ilyas Fatkhullin, Anas Barakat, Anastasia Kireeva, Niao He

Proceedings of the International Conference on Machine Learning, 2023

Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space.

Anas Barakat, Ilyas Fatkhullin, Niao He

Proceedings of the International Conference on Machine Learning, 2023

Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity.

Jiduan Wu, Anas Barakat, Ilyas Fatkhullin, Niao He

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality.

Ilyas Fatkhullin, Jalal Etesami, Niao He, Negar Kiyavash

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation.

Peter Richtárik, Igor Sokolov, Elnur Gasanov, Ilyas Fatkhullin, Zhize Li, Eduard Gorbunov

Proceedings of the International Conference on Machine Learning, 2022

2021

Optimizing Static Linear Feedback: Gradient Method.

Ilyas Fatkhullin, Boris T. Polyak

SIAM J. Control. Optim., 2021

EF21 with Bells & Whistles: Practical Algorithmic Extensions of Modern Error Feedback.

Ilyas Fatkhullin, Igor Sokolov, Eduard Gorbunov, Zhize Li, Peter Richtárik

CoRR, 2021

EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback.

Peter Richtárik, Igor Sokolov, Ilyas Fatkhullin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021