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math.OC2023
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization
Quanqi Hu, Zi-Hao Qiu, Zhishuai Guo +2
In this paper, we consider non-convex multi-block bilevel optimization (MBBO) problems, which involve lower level problems and have important applications in machine learn…
math.OC2021★ 4 cited
Randomized Stochastic Variance-Reduced Methods for Multi-Task Stochastic Bilevel Optimization
Zhishuai Guo, Quanqi Hu, Lijun Zhang +1
In this paper, we consider non-convex stochastic bilevel optimization (SBO) problems that have many applications in machine learning. Although numerous studies have proposed stocha…
math.OC2021
Unified Convergence Analysis for Adaptive Optimization with Moving Average Estimator
Zhishuai Guo, Yi Xu, Wotao Yin +2
Although adaptive optimization algorithms have been successful in many applications, there are still some mysteries in terms of convergence analysis that have not been unraveled. T…