Zhishuai Guo | DeepAI

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∙ 05/30/2023

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

In this paper, we consider non-convex multi-block bilevel optimization (...

0 Quanqi Hu, et al. ∙

∙ 05/05/2021

Randomized Stochastic Variance-Reduced Methods for Stochastic Bilevel Optimization

In this paper, we consider non-convex stochastic bilevel optimization (S...

0 Zhishuai Guo, et al. ∙

∙ 02/09/2021

Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity

eep UC (area under the ROC curve) aximization (DAM) has attracted much a...

0 Zhuoning Yuan, et al. ∙

∙ 06/12/2020

Fast Objective and Duality Gap Convergence for Non-convex Strongly-concave Min-max Problems

This paper focuses on stochastic methods for solving smooth non-convex s...

0 Zhishuai Guo, et al. ∙

∙ 05/05/2020

Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks

In this paper, we study distributed algorithms for large-scale AUC maxim...

0 Zhishuai Guo, et al. ∙

∙ 03/09/2020

Revisiting SGD with Increasingly Weighted Averaging: Optimization and Generalization Perspectives

Stochastic gradient descent (SGD) has been widely studied in the literat...

0 Zhishuai Guo, et al. ∙

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