6 citations · 20 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
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…