2.6k citations · 3.1k across the 36 of their papers we have counts for
6 papers · 1 filter
Online Policy Optimization for Robust MDP
Jing Dong, Jingwei Li, Baoxiang Wang +1
Reinforcement learning (RL) has exceeded human performance in many synthetic settings such as video games and Go. However, real-world deployment of end-to-end RL models is less com…
Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models
Kaiyue Wen, Jiaye Teng, Jingzhao Zhang
Studies on benign overfitting provide insights for the success of overparameterized deep learning models. In this work, we examine whether overfitting is truly benign in real-world…
Theory and Algorithms for Diffusion Processes on Riemannian Manifolds
Xiang Cheng, Jingzhao Zhang, Suvrit Sra
We study geometric stochastic differential equations (SDEs) and their approximations on Riemannian manifolds. In particular, we introduce a simple new construction of geometric SDE…
Understanding the unstable convergence of gradient descent
Kwangjun Ahn, Jingzhao Zhang, Suvrit Sra
Most existing analyses of (stochastic) gradient descent rely on the condition that for -smooth costs, the step size is less than . However, many works have observed that in…
Sion's Minimax Theorem in Geodesic Metric Spaces and a Riemannian Extragradient Algorithm
Peiyuan Zhang, Jingzhao Zhang, Suvrit Sra
Deciding whether saddle points exist or are approximable for nonconvex-nonconcave problems is usually intractable. This paper takes a step towards understanding a broad class of no…
EVBattery: A Large-Scale Electric Vehicle Dataset for Battery Health and Capacity Estimation
Haowei He, Jingzhao Zhang, Yanan Wang +9
Electric vehicles (EVs) play an important role in reducing carbon emissions. As EV adoption accelerates, safety issues caused by EV batteries have become an important research topi…