Ilyas Fatkhullin

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 20

Top Topics

Sample Complexity

Policy Gradient

Natural Actor Critic

Top Venues

Publications

Ilyas Fatkhullin, Niao He
Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence. CoRR (2024)
Ilyas Fatkhullin, Niao He
Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence. AISTATS (2024)
Ilyas Fatkhullin, Niao He, Yifan Hu
Stochastic Optimization under Hidden Convexity. CoRR (2024)
Anas Barakat, Ilyas Fatkhullin, Niao He
Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space. ICML (2023)
Junchi Yang, Xiang Li, Ilyas Fatkhullin, Niao He
Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods. NeurIPS (2023)
Ilyas Fatkhullin, Alexander Tyurin, Peter Richtárik
Momentum Provably Improves Error Feedback! CoRR (2023)
Ilyas Fatkhullin, Anas Barakat, Anastasia Kireeva, Niao He
Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies. ICML (2023)
Ilyas Fatkhullin, Alexander Tyurin, Peter Richtárik
Momentum Provably Improves Error Feedback! NeurIPS (2023)
Jiduan Wu, Anas Barakat, Ilyas Fatkhullin, Niao He
Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity. CDC (2023)
Junchi Yang, Xiang Li, Ilyas Fatkhullin, Niao He
Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods. CoRR (2023)
Anas Barakat, Ilyas Fatkhullin, Niao He
Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space. CoRR (2023)
Ilyas Fatkhullin, Anas Barakat, Anastasya Kireeva, Niao He
Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies. CoRR (2023)
Jiduan Wu, Anas Barakat, Ilyas Fatkhullin, Niao He
Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity. CoRR (2023)
Peter Richtárik, Igor Sokolov, Ilyas Fatkhullin, Elnur Gasanov, Zhize Li, Eduard A. Gorbunov
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation. CoRR (2022)
Ilyas Fatkhullin, Jalal Etesami, Niao He, Negar Kiyavash
Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality. NeurIPS (2022)
Peter Richtárik, Igor Sokolov, Elnur Gasanov, Ilyas Fatkhullin, Zhize Li, Eduard Gorbunov
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation. ICML (2022)
Peter Richtárik, Igor Sokolov, Ilyas Fatkhullin
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback. NeurIPS (2021)
Peter Richtárik, Igor Sokolov, Ilyas Fatkhullin
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback. CoRR (2021)
Ilyas Fatkhullin, Boris Polyak
Optimizing Static Linear Feedback: Gradient Method. SIAM J. Control. Optim. 59 (5) (2021)
Ilyas Fatkhullin, Igor Sokolov, Eduard A. Gorbunov, Zhize Li, Peter Richtárik
EF21 with Bells & Whistles: Practical Algorithmic Extensions of Modern Error Feedback. CoRR (2021)