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Bayesian Risk-Averse Q-Learning with Streaming Observations


May 18, 2023
Yuhao Wang, Enlu Zhou

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Risk-averse Contextual Multi-armed Bandit Problem with Linear Payoffs


Jun 24, 2022
Yifan Lin, Yuhao Wang, Enlu Zhou

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Robust Multi-Objective Bayesian Optimization Under Input Noise


Feb 16, 2022
Samuel Daulton, Sait Cakmak, Maximilian Balandat, Michael A. Osborne, Enlu Zhou, Eytan Bakshy

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* 41 pages. Code is available at https://github.com/facebookresearch/robust_mobo 

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Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably


Feb 07, 2022
Tianyi Liu, Yan Li, Enlu Zhou, Tuo Zhao

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Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization


Feb 24, 2021
Tianyi Liu, Yan Li, Song Wei, Enlu Zhou, Tuo Zhao

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Bayesian Optimization of Risk Measures


Jul 16, 2020
Sait Cakmak, Raul Astudillo, Peter Frazier, Enlu Zhou

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* The paper is 13 pages and includes 3 figures. The supplement is an additional 11 pages with 2 figures. The paper is currently under review for Neurips 2020. Updated formatting in v2 

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Towards Understanding the Importance of Shortcut Connections in Residual Networks


Sep 11, 2019
Tianyi Liu, Minshuo Chen, Mo Zhou, Simon S. Du, Enlu Zhou, Tuo Zhao

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* Thirty-third Conference on Neural Information Processing Systems, 2019 

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Towards Understanding the Importance of Noise in Training Neural Networks


Sep 07, 2019
Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao

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* International Conference on Machine Learning (ICML), 2019 

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Toward Deeper Understanding of Nonconvex Stochastic Optimization with Momentum using Diffusion Approximations


Oct 01, 2018
Tianyi Liu, Zhehui Chen, Enlu Zhou, Tuo Zhao

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* arXiv admin note: text overlap with arXiv:1806.01660 

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