Jun-Kun WangI am a fourth year PhD student in CS at Georgia Tech. My advisor is Professor Jacob Abernethy. Before that, I was a research assistant at CSIE Department, National Taiwan University (NTU), where I worked with Prof. Shou-De Lin and also worked closely with Dr. Chi-Jen Lu at Academia Sinica. I am from Taiwan! Fun fact 1: I like to run and enjoy long runs (especially along a river or bay). I run a lot! Fun fact 2: I am always a top x% reviewer since NIPS/NeurIPS 2017 (x is the number that guarantees a registration of NeurIPS). Give me a paper, I can quickly provide a quite good review! Reviwerer of NIPS/NeurIPS 2016,2017,2018,2019, of ICML 2017,2018,2019,2020, of COLT 2017,2018,2019,2020, of ALT 2017,2018,2019,2020. Publications: *Corresponding Author/*Presenting Author Escape Saddle Points Faster with Stochastic Momentum. Optimistic Adaptive Acceleration for Optimization. Online Linear Optimization with Sparsity Constraints Revisiting Projection-Free Optimization For Strongly Convex Constraint Sets Acceleration through Optimistic No-Regret Dynamics Faster Rates for Convex-Concave Games On Frank-Wolfe and Equilibrium Computation Efficient Sampling-based ADMM for Distributed Data Parallel Least-Squares Policy Iteration Robust Inverse Covariance Estimation under Noisy Measurements Techical Reports: 1 Fast Logistic Bandit Jun-Kun Wang, Chi-Jen Lu, and Shou-De Lin paper (contains an error) Review ResearchI am interested in machine learning and optimization. I like theoretical justification as well as real-world applications. Particularly, I am fascinated by sequential learning and decision making. But I am broadly interested in many topics in machine learning. |