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20242026
most citedFrom Gradient Clipping to Normalization for Heavy Tailed SGD

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math.OC2026

Lower Bounds for Anytime Acceleration of Gradient Descent

Chung-En Tsai, Ilyas Fatkhullin, Liang Zhang +1

Recent work suggests that the convergence rate of gradient descent (GD) in smooth convex optimization can be significantly improved by employing large stepsizes that may violate th…

cs.LG2026

Global Optimality for Constrained Exploration via Penalty Regularization

Florian Wolf, Ilyas Fatkhullin, Niao He

Efficient exploration is a central problem in reinforcement learning and is often formalized as maximizing the entropy of the state-action occupancy measure. While unconstrained ma…