Ph.D. in CS
UC Berkeley
Some Results on Permanental Processes
with Venkat Anantharam. Manuscript.
Statistical Estimation of Edge Reinforced Random Walks
with Venkat Anantharam. Manuscript.
Concavity of output relative entropy for channels with binary inputs
with Ken Lau, Chandra Nair, and Dustin Wang. ISIT '21.
Learning and Testing Markov Chains via the k-cover Time
with Siuon Chan and Ray Li. ALT '21.
Empirical Properties of Good Channel Codes
with Sidharth Jaggi, Shashank Vatedka, and Yihan Zhang. ISIT '20.
Tight Convergence Rate of Gradient Descent for Eigenvalue Computation
Qinghua Ding, Kaiwen Zhou, James Cheng. IJCAI '20.
Amortized Nesterov's Momentum: A Robust Momentum and Its Application to Deep Learning
Kaiwen Zhou, Yanghua Jin, Qinghua Ding, James Cheng. UAI '20.
Direct Acceleration of SAGA using Sampled Negative Momentum
Kaiwen Zhou, Qinghua Ding, Fanhua Shang, James Cheng, Danli Li, Zhi-Quan Luo. AISTATS '19.