6 citations · 20 across the 10 of their papers we have counts for
10 papers
A Spectral Filtering Approach to Regret Analysis of Distributed Online Control for Linear Dynamical Systems
Ting-Jui Chang
This paper studies the distributed online control problem over a network of linear time-invariant (LTI) systems in the presence of adversarial disturbances and time-varying convex…
Regret Analysis of Policy Optimization over Submanifolds for Linearly Constrained Online LQG
Ting-Jui Chang, Shahin Shahrampour
Recent advancement in online optimization and control has provided novel tools to study online linear quadratic regulator (LQR) problems, where cost matrices are time-varying and u…
Regret Analysis of Distributed Online Control for LTI Systems with Adversarial Disturbances
Ting-Jui Chang, Shahin Shahrampour
This paper addresses the distributed online control problem over a network of linear time-invariant (LTI) systems (with possibly unknown dynamics) in the presence of adversarial pe…
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems
Ting-Jui Chang, Sapana Chaudhary, Dileep Kalathil +1
This paper addresses safe distributed online optimization over an unknown set of linear safety constraints. A network of agents aims at jointly minimizing a global, time-varying fu…
Distributed Online System Identification for LTI Systems Using Reverse Experience Replay
Ting-Jui Chang, Shahin Shahrampour
Identification of linear time-invariant (LTI) systems plays an important role in control and reinforcement learning. Both asymptotic and finite-time offline system identification a…
Regret Analysis of Distributed Online LQR Control for Unknown LTI Systems
Ting-Jui Chang, Shahin Shahrampour
Online optimization has recently opened avenues to study optimal control for time-varying cost functions that are unknown in advance. Inspired by this line of research, we study th…
Distributed Online Linear Quadratic Control for Linear Time-invariant Systems
Ting-Jui Chang, Shahin Shahrampour
Classical linear quadratic (LQ) control centers around linear time-invariant (LTI) systems, where the control-state pairs introduce a quadratic cost with time-invariant parameters.…
Unconstrained Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems
Ting-Jui Chang, Shahin Shahrampour
The regret bound of dynamic online learning algorithms is often expressed in terms of the variation in the function sequence () and/or the path-length of the minimizer sequenc…
RFN: A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Spaces
Ting-Jui Chang, Shahin Shahrampour
In supervised learning using kernel methods, we often encounter a large-scale finite-sum minimization over a reproducing kernel Hilbert space (RKHS). Large-scale finite-sum problem…
Efficient Two-Step Adversarial Defense for Deep Neural Networks
Ting-Jui Chang, Yukun He, Peng Li
In recent years, deep neural networks have demonstrated outstanding performance in many machine learning tasks. However, researchers have discovered that these state-of-the-art mod…