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Zhishuai Guo

Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization

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Jun 02, 2023
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FedX: Federated Learning for Compositional Pairwise Risk Optimization

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Oct 26, 2022
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A Novel Convergence Analysis for Algorithms of the Adam Family

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Dec 07, 2021
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Randomized Stochastic Variance-Reduced Methods for Stochastic Bilevel Optimization

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May 05, 2021
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On Stochastic Moving-Average Estimators for Non-Convex Optimization

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Apr 30, 2021
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Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity

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Feb 09, 2021
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Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems

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Jul 07, 2020
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A Practical Online Method for Distributionally Deep Robust Optimization

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Jun 17, 2020
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Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks

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May 05, 2020
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Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives

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Mar 09, 2020
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