1 citations · 1 across the 6 of their papers we have counts for
6 papers
Learning to Sparsify Stochastic Linear Bandits
Zhengmiao Wang, Ming Chi, Zhi-Wei Liu +2
This paper addresses the problem of learning to sparsify stochastic linear bandits, where a decision-maker sequentially selects actions from a high-dimensional space subject to a s…
Online Learning of Kalman Filtering: From Output to State Estimation
Lintao Ye, Ankang Zhang, Ming Chi +2
In this paper, we study the problem of learning Kalman filtering with unknown system model in partially observed linear dynamical systems. We propose a unified algorithmic framewor…
Model-Free Output Feedback Stabilization via Policy Gradient Methods
Ankang Zhang, Ming Chi, Xiaoling Wang +1
Stabilizing a dynamical system is a fundamental problem that serves as a cornerstone for many complex tasks in the field of control systems. The problem becomes challenging when th…
Online Convex Optimization with Memory and Limited Predictions
Zhengmiao Wang, Zhi-Wei Liu, Ming Chi +3
This paper addresses an online convex optimization problem where the cost function at each step depends on a history of past decisions (i.e., memory), and the decision maker has ac…
Online Mixed Discrete and Continuous Optimization: Algorithms, Regret Analysis and Applications
Lintao Ye, Ming Chi, Zhi-Wei Liu +2
We study an online mixed discrete and continuous optimization problem where a decision maker interacts with an unknown environment for a number of rounds. At each round, the de…
Maximization of Nonsubmodular Functions under Multiple Constraints with Applications
Lintao Ye, Zhi-Wei Liu, Ming Chi +1
We consider the problem of maximizing a monotone nondecreasing set function under multiple constraints, where the constraints are also characterized by monotone nondecreasing set f…