15 citations · 15 across the 4 of their papers we have counts for
7 papers
Identifying the Dynamics of a System by Leveraging Data from Similar Systems
Lei Xin, Lintao Ye, George Chiu +1
We study the problem of identifying the dynamics of a linear system when one has access to samples generated by a similar (but not identical) system, in addition to data from the t…
Model-free Learning for Risk-constrained Linear Quadratic Regulator with Structured Feedback in Networked Systems
Kyung-bin Kwon, Lintao Ye, Vijay Gupta +1
We develop a model-free learning algorithm for the infinite-horizon linear quadratic regulator (LQR) problem. Specifically, (risk) constraints and structured feedback are considere…
Parameter Estimation in Epidemic Spread Networks Using Limited Measurements
Lintao Ye, Philip E. Paré, Shreyas Sundaram
We study the problem of estimating the parameters (i.e., infection rate and recovery rate) governing the spread of epidemics in networks. Such parameters are typically estimated by…
Near-Optimal Data Source Selection for Bayesian Learning
Lintao Ye, Aritra Mitra, Shreyas Sundaram
We study a fundamental problem in Bayesian learning, where the goal is to select a set of data sources with minimum cost while achieving a certain learning performance based on the…
Distributed Maximization of Submodular and Approximately Submodular Functions
Lintao Ye, Shreyas Sundaram
We study the problem of maximizing a submodular function, subject to a cardinality constraint, with a set of agents communicating over a connected graph. We propose a distributed g…
Resilient Sensor Placement for Kalman Filtering in Networked Systems: Complexity and Algorithms
Lintao Ye, Sandip Roy, Shreyas Sundaram
Given a linear dynamical system affected by noise, we study the problem of optimally placing sensors (at design-time) subject to a sensor placement budget constraint in order to mi…