9 citations · 12 across the 3 of their papers we have counts for
4 papers
Distributed Constrained Optimization with Delayed Subgradient Information over Time-Varying Network under Adaptive Quantization
Jie Liu, Zhan Yu, Daniel W. C. Ho
In this paper, we consider a distributed constrained optimization problem with delayed subgradient information over the time-varying communication network, where each agent can onl…
Robust Kernel-based Distribution Regression
Zhan Yu, Daniel W. C. Ho, Ding-Xuan Zhou
Regularization schemes for regression have been widely studied in learning theory and inverse problems. In this paper, we study distribution regression (DR) which involves two stag…
Zeroth-Order Stochastic Block Coordinate Type Methods for Nonconvex Optimization
Zhan Yu, Daniel W. C. Ho
We study (constrained) nonconvex (composite) optimization problems where the decision variables vector can be split into blocks of variables. Random block projection is a popular t…
Distributed Randomized Gradient-Free Mirror Descent Algorithm for Constrained Optimization
Zhan Yu, Daniel W. C. Ho, Deming Yuan
This paper is concerned with multi-agent optimization problem. A distributed randomized gradient-free mirror descent (DRGFMD) method is developed by introducing a randomized gradie…