3 citations · 4 across the 4 of their papers we have counts for
4 papers
Stochastic Constrained Decentralized Optimization for Machine Learning with Fewer Data Oracles: a Gradient Sliding Approach
Hoang Huy Nguyen, Yan Li, Tuo Zhao
In modern decentralized applications, ensuring communication efficiency and privacy for the users are the key challenges. In order to train machine-learning models, the algorithm h…
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
Anh Duc Nguyen, Tuan Dung Nguyen, Quang Minh Nguyen +3
This paper studies the Partial Optimal Transport (POT) problem between two unbalanced measures with at most supports and its applications in various AI tasks such as color tran…
Stochastic Approximation for Nonlinear Discrete Stochastic Control: Finite-Sample Bounds
Hoang Huy Nguyen, Siva Theja Maguluri
We consider a nonlinear discrete stochastic control system, and our goal is to design a feedback control policy in order to lead the system to a prespecified state. We adopt a stoc…
On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation Error
Quang Minh Nguyen, Hoang H. Nguyen, Yi Zhou +1
We study the Unbalanced Optimal Transport (UOT) between two measures of possibly different masses with at most components, where the marginal constraints of standard Optimal Tr…