Efficient Two-Step Adversarial Defense for Deep Neural Networks. - Ting-Jui Chang; Yukun He; Peng Li 001 (CoRR, 2018)

Global Convergence of Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Space. - Ting-Jui Chang; Shahin Shahrampour (ACSSC, 2020)

A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Space. - Shahin Shahrampour; Ting-Jui Chang (CoRR, 2020)

Unconstrained Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems. - Ting-Jui Chang; Shahin Shahrampour (CoRR, 2020)

On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems. - Ting-Jui Chang; Shahin Shahrampour (AAAI, 2021)

Distributed Online Linear Quadratic Control for Linear Time-invariant Systems. - Ting-Jui Chang; Shahin Shahrampour (ACC, 2021)

Distributed Online System Identification for LTI Systems Using Reverse Experience Replay. - Ting-Jui Chang; Shahin Shahrampour (CDC, 2022)

RFN: A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Spaces. - Ting-Jui Chang; Shahin Shahrampour (IEEE Trans. Signal Process., 2022)

Regret Analysis of Distributed Online Control for LTI Systems with Adversarial Disturbances. - Ting-Jui Chang; Shahin Shahrampour (CoRR, 2023)

Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems. - Ting-Jui Chang; Sapana Chaudhary; Dileep Kalathil; Shahin Shahrampour (Trans. Mach. Learn. Res., 2023)

Regret Analysis of Policy Optimization over Submanifolds for Linearly Constrained Online LQG. - Ting-Jui Chang; Shahin Shahrampour (CoRR, 2024)

Regret Analysis of Distributed Online LQR Control for Unknown LTI Systems. - Ting-Jui Chang; Shahin Shahrampour (IEEE Trans. Autom. Control., 2024)