Zhou, Enlu

10 publications

AAAI 2025 Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes Yifan Lin, Enlu Zhou

NeurIPS 2023 Bayesian Risk-Averse Q-Learning with Streaming Observations Yuhao Wang, Enlu Zhou

AISTATS 2022 Noise Regularizes Over-Parameterized Rank One Matrix Recovery, Provably Tianyi Liu, Yan Li, Enlu Zhou, Tuo Zhao

NeurIPS 2022 Bayesian Risk Markov Decision Processes Yifan Lin, Yuxuan Ren, Enlu Zhou

ICML 2022 Robust Multi-Objective Bayesian Optimization Under Input Noise Samuel Daulton, Sait Cakmak, Maximilian Balandat, Michael A. Osborne, Enlu Zhou, Eytan Bakshy

AISTATS 2021 Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization Tianyi Liu, Yan Li, Song Wei, Enlu Zhou, Tuo Zhao

NeurIPS 2020 Bayesian Optimization of Risk Measures Sait Cakmak, Raul Astudillo Marban, Peter Frazier, Enlu Zhou

ICML 2019 Toward Understanding the Importance of Noise in Training Neural Networks Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao

NeurIPS 2019 Towards Understanding the Importance of Shortcut Connections in Residual Networks Tianyi Liu, Minshuo Chen, Mo Zhou, Simon S Du, Enlu Zhou, Tuo Zhao

NeurIPS 2018 Towards Understanding Acceleration Tradeoff Between Momentum and Asynchrony in Nonconvex Stochastic Optimization Tianyi Liu, Shiyang Li, Jianping Shi, Enlu Zhou, Tuo Zhao