Ting-Jui Chang

Orcid: 0000-0002-0037-6564

According to our database1, Ting-Jui Chang authored at least 12 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Regret Analysis of Distributed Online LQR Control for Unknown LTI Systems.
IEEE Trans. Autom. Control., January, 2024

Regret Analysis of Policy Optimization over Submanifolds for Linearly Constrained Online LQG.
CoRR, 2024

2023
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems.
Trans. Mach. Learn. Res., 2023

Regret Analysis of Distributed Online Control for LTI Systems with Adversarial Disturbances.
CoRR, 2023

2022
RFN: A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Spaces.
IEEE Trans. Signal Process., 2022

Distributed Online System Identification for LTI Systems Using Reverse Experience Replay.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Distributed Online Linear Quadratic Control for Linear Time-invariant Systems.
Proceedings of the 2021 American Control Conference, 2021

On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Unconstrained Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems.
CoRR, 2020

A Random-Feature Based Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Space.
CoRR, 2020

Global Convergence of Newton Method for Empirical Risk Minimization in Reproducing Kernel Hilbert Space.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2018
Efficient Two-Step Adversarial Defense for Deep Neural Networks.
CoRR, 2018


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