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20192026
most citedDistributed stochastic gradient tracking algorithm with variance reduction for non-convex optimization

1 citations · 4 across the 10 of their papers we have counts for

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2 papers · 1 filter

cs.LG2025

Empirical Bayesian Multi-Bandit Learning

Xia Jiang, Rong J. B. Zhu

Multi-task learning in contextual bandits has attracted significant research interest due to its potential to enhance decision-making across multiple related tasks by leveraging sh…

math.OC2025

Efficient Single-Loop Stochastic Algorithms for Nonconvex-Concave Minimax Optimization

Xia Jiang, Linglingzhi Zhu, Taoli Zheng +1

Nonconvex-concave (NC-C) finite-sum minimax problems have wide applications in signal processing and machine learning tasks. Conventional stochastic gradient algorithms, which rely…