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Ali Kavis

Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization

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Jun 04, 2024
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Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods

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Nov 03, 2022
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Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization

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Nov 03, 2022
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High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize

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Apr 06, 2022
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STORM+: Fully Adaptive SGD with Momentum for Nonconvex Optimization

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Nov 01, 2021
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On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems

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Jun 19, 2020
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UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization

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Oct 30, 2019
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Efficient learning of smooth probability functions from Bernoulli tests with guarantees

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Jan 07, 2019
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Mirrored Langevin Dynamics

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May 18, 2018
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