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Niao He

Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes

Jun 05, 2024
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A Hessian-Aware Stochastic Differential Equation for Modelling SGD

May 28, 2024
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Primal Methods for Variational Inequality Problems with Functional Constraints

Mar 19, 2024
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Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence

Feb 27, 2024
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Independent Learning in Constrained Markov Potential Games

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Feb 27, 2024
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Truly No-Regret Learning in Constrained MDPs

Feb 24, 2024
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Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL

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Feb 08, 2024
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Efficiently Escaping Saddle Points for Non-Convex Policy Optimization

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Nov 15, 2023
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Parameter-Agnostic Optimization under Relaxed Smoothness

Nov 06, 2023
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Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization

Oct 26, 2023
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