895 citations · 5.3k across the 104 of their papers we have counts for
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A Linearly Convergent Doubly Stochastic Gauss-Seidel Algorithm for Solving Linear Equations and A Certain Class of Over-Parameterized Optimization Problems
Meisam Razaviyayn, Mingyi Hong, Navid Reyhanian +1
Consider the classical problem of solving a general linear system of equations . It is well known that the (successively over relaxed) Gauss-Seidel scheme and many of its var…
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
Xiangyi Chen, Sijia Liu, Ruoyu Sun +1
This paper studies a class of adaptive gradient based momentum algorithms that update the search directions and learning rates simultaneously using past gradients. This class, whic…
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization
Hoi-To Wai, Zhuoran Yang, Zhaoran Wang +1
Despite the success of single-agent reinforcement learning, multi-agent reinforcement learning (MARL) remains challenging due to complex interactions between agents. Motivated by d…
Structured SUMCOR Multiview Canonical Correlation Analysis for Large-Scale Data
Charilaos I. Kanatsoulis, Xiao Fu, Nicholas D. Sidiropoulos +1
The sum-of-correlations (SUMCOR) formulation of generalized canonical correlation analysis (GCCA) seeks highly correlated low-dimensional representations of different views via max…
Distributed Non-Convex First-Order Optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms
Haoran Sun, Mingyi Hong
We consider a class of popular distributed non-convex optimization problems, in which agents connected by a network collectively optimize a sum of smooth (possibly no…
Mirror-Prox SCA Algorithm for Multicast Beamforming and Antenna Selection
Mohamed S. Ibrahim, Aritra Konar, Mingyi Hong +1
This paper considers the (NP-)hard problem of joint multicast beamforming and antenna selection. Prior work has focused on using Semi-Definite relaxation (SDR) techniques in an att…