Ting-Jui Chang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Risk Minimization

Top Venues

IEEE Trans. Signal Process.

Publications

Ting-Jui Chang, Shahin Shahrampour
Regret Analysis of Distributed Online LQR Control for Unknown LTI Systems. IEEE Trans. Autom. Control. 69 (1) (2024)
Ting-Jui Chang, Shahin Shahrampour
Regret Analysis of Policy Optimization over Submanifolds for Linearly Constrained Online LQG. CoRR (2024)
Ting-Jui Chang, Sapana Chaudhary, Dileep Kalathil, Shahin Shahrampour
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems. CoRR (2023)
Ting-Jui Chang, Sapana Chaudhary, Dileep Kalathil, Shahin Shahrampour
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems. Trans. Mach. Learn. Res. 2023 (2023)
Ting-Jui Chang, Shahin Shahrampour
Regret Analysis of Distributed Online Control for LTI Systems with Adversarial Disturbances. CoRR (2023)
Ting-Jui Chang, Shahin Shahrampour
Distributed Online System Identification for LTI Systems Using Reverse Experience Replay. CDC (2022)
Ting-Jui Chang, Shahin Shahrampour
RFN: A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Spaces. IEEE Trans. Signal Process. 70 (2022)
Ting-Jui Chang, Shahin Shahrampour
Distributed Online System Identification for LTI Systems Using Reverse Experience Replay. CoRR (2022)
Ting-Jui Chang, Shahin Shahrampour
Distributed Online Linear Quadratic Control for Linear Time-invariant Systems. ACC (2021)
Ting-Jui Chang, Shahin Shahrampour
Regret Analysis of Distributed Online LQR Control for Unknown LTI Systems. CoRR (2021)
Ting-Jui Chang, Shahin Shahrampour
On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems. AAAI (2021)
Ting-Jui Chang, Shahin Shahrampour
Unconstrained Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems. CoRR (2020)
Shahin Shahrampour, Ting-Jui Chang
A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Space. CoRR (2020)
Ting-Jui Chang, Shahin Shahrampour
Global Convergence of Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Space. ACSSC (2020)
Ting-Jui Chang, Shahin Shahrampour
Distributed Online Linear Quadratic Control for Linear Time-invariant Systems. CoRR (2020)
Ting-Jui Chang, Yukun He, Peng Li
Efficient Two-Step Adversarial Defense for Deep Neural Networks. CoRR (2018)