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20182026
most citedEfficient Two-Step Adversarial Defense for Deep Neural Networks

6 citations · 20 across the 10 of their papers we have counts for

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6 papers · 1 filter

math.OC2026

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…

math.OC2024★ 1 cited

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…

math.OC2023

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…

math.OC2023★ 4 cited

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…

math.OC2021★ 3 cited

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…

math.OC2020★ 3 cited

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.…