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Ilyas Fatkhullin
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12
Stochastic Optimization under Hidden Convexity
9 November 2024 by
Ilyas Fatkhullin
and
others
Optimization and Control
,
Computational Complexity
From Gradient Clipping to Normalization for Heavy Tailed SGD
17 October 2024 by
Florian Hübler
and
others
at
ETH Zurich
Optimization and Control
,
Machine Learning
Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence
27 February 2024 by
Ilyas Fatkhullin
and
Niao He
Optimization and Control
,
Machine Learning
Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies
8 November 2023 by
Ilyas Fatkhullin
and
others
Machine Learning
,
Optimization and Control
Learning Zero-Sum Linear Quadratic Games with Improved Sample Complexity and Last-Iterate Convergence
31 October 2023 by
Jiduan Wu
and
others
Systems and Control
,
Computer Science and Game Theory
Momentum Provably Improves Error Feedback!
30 October 2023 by
Ilyas Fatkhullin
and
others
at
ETH Zurich
Machine Learning
,
Distributed, Parallel, and Cluster Computing
Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space
2 June 2023 by
Anas Barakat
and
others
Machine Learning
,
Optimization and Control
Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods
21 May 2023 by
Junchi Yang
and
others
Optimization and Control
,
Machine Learning
Sharp Analysis of Stochastic Optimization under Global Kurdyka-Łojasiewicz Inequality
4 October 2022 by
Ilyas Fatkhullin
and
others
Optimization and Control
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation
2 February 2022 by
Peter Richtárik
and
others
Machine Learning
,
Distributed, Parallel, and Cluster Computing
EF21 with Bells & Whistles: Practical Algorithmic Extensions of Modern Error Feedback
7 October 2021 by
Ilyas Fatkhullin
and
others
Machine Learning
,
Optimization and Control
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback
9 June 2021 by
Peter Richtárik
and
others
Machine Learning
,
Optimization and Control
Optimizing Static Linear Feedback: Gradient Method
1 November 2020 by
Ilyas Fatkhullin
and
Boris Polyak
Optimization and Control
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Key points
Topics
Optimization and Control
Machine Learning
Systems and Control
Distributed, Parallel, and Cluster Computing
Computational Complexity
Computer Science and Game Theory
Data Structures and Algorithms