1 citations · 4 across the 10 of their papers we have counts for
8 papers · 1 filter
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…
Shuffling Gradient Descent-Ascent with Variance Reduction for Nonconvex-Strongly Concave Smooth Minimax Problems
Xia Jiang, Linglingzhi Zhu, Anthony Man-Cho So +2
In recent years, there has been considerable interest in designing stochastic first-order algorithms to tackle finite-sum smooth minimax problems. To obtain the gradient estimates,…
Distributed stochastic projection-free solver for constrained optimization
Xia Jiang, Xianlin Zeng, Lihua Xie +2
This paper proposes a distributed stochastic projection-free algorithm for large-scale constrained finite-sum optimization whose constraint set is complicated such that the project…
Distributed stochastic proximal algorithm with random reshuffling for non-smooth finite-sum optimization
Xia Jiang, Xianlin Zeng, Jian Sun +2
The non-smooth finite-sum minimization is a fundamental problem in machine learning. This paper develops a distributed stochastic proximal-gradient algorithm with random reshufflin…
Distributed stochastic gradient tracking algorithm with variance reduction for non-convex optimization
Xia Jiang, Xianlin Zeng, Jian Sun +1
This paper proposes a distributed stochastic algorithm with variance reduction for general smooth non-convex finite-sum optimization, which has wide applications in signal processi…
Distributed synchronous and asynchronous algorithms for semi-definite programming with diagonal constraints
Xia Jiang, Xianlin Zeng, Jian Sun +1
This paper develops distributed synchronous and asynchronous algorithms for the large-scale semi-definite programming with diagonal constraints, which has wide applications in comb…
Distributed proximal gradient algorithm for non-smooth non-convex optimization over time-varying networks
Xia Jiang, Xianlin Zeng, Jian Sun +1
This note studies the distributed non-convex optimization problem with non-smooth regularization, which has wide applications in decentralized learning, estimation and control. The…
Distributed Solver for Discrete-Time Lyapunov Equations Over Dynamic Networks with Linear Convergence Rate
Xia Jiang, Xianlin Zeng, Jian Sun +1
This paper investigates the problem of solving discrete-time Lyapunov equations (DTLE) over a multi-agent system, where every agent has access to its local information and communic…