Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Botao Hao

Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?


Oct 09, 2021
Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Botao Hao, Morteza Ibrahimi, Dieterich Lawson, Xiuyuan Lu, Brendan O'Donoghue, Benjamin Van Roy


  Access Paper or Ask Questions

Efficient Local Planning with Linear Function Approximation


Aug 12, 2021
Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazić, Csaba Szepesvári


  Access Paper or Ask Questions

Bandit Phase Retrieval


Jun 04, 2021
Tor Lattimore, Botao Hao


  Access Paper or Ask Questions

Information Directed Sampling for Sparse Linear Bandits


May 29, 2021
Botao Hao, Tor Lattimore, Wei Deng


  Access Paper or Ask Questions

Optimization Issues in KL-Constrained Approximate Policy Iteration


Feb 11, 2021
Nevena Lazić, Botao Hao, Yasin Abbasi-Yadkori, Dale Schuurmans, Csaba Szepesvári


  Access Paper or Ask Questions

Bootstrapping Statistical Inference for Off-Policy Evaluation


Feb 09, 2021
Botao Hao, Xiang Ji, Yaqi Duan, Hao Lu, Csaba Szepesvári, Mengdi Wang


  Access Paper or Ask Questions

High-Dimensional Sparse Linear Bandits


Nov 08, 2020
Botao Hao, Tor Lattimore, Mengdi Wang

* Accepted by NeurIPS 2020 

  Access Paper or Ask Questions

Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient


Nov 08, 2020
Botao Hao, Yaqi Duan, Tor Lattimore, Csaba Szepesvári, Mengdi Wang


  Access Paper or Ask Questions

Online Sparse Reinforcement Learning


Nov 08, 2020
Botao Hao, Tor Lattimore, Csaba Szepesvári, Mengdi Wang


  Access Paper or Ask Questions

Low-rank Tensor Bandits


Jul 31, 2020
Botao Hao, Jie Zhou, Zheng Wen, Will Wei Sun


  Access Paper or Ask Questions

Provably Efficient Adaptive Approximate Policy Iteration


Mar 15, 2020
Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvari


  Access Paper or Ask Questions

Residual Bootstrap Exploration for Bandit Algorithms


Feb 19, 2020
Chi-Hua Wang, Yang Yu, Botao Hao, Guang Cheng

* The first two authors contributed equally 

  Access Paper or Ask Questions

Adaptive Exploration in Linear Contextual Bandit


Oct 15, 2019
Botao Hao, Tor Lattimore, Csaba Szepesvari


  Access Paper or Ask Questions

Bootstrapping Upper Confidence Bound


Jul 23, 2019
Botao Hao, Yasin Abbasi-Yadkori, Zheng Wen, Guang Cheng


  Access Paper or Ask Questions

Sparse Tensor Additive Regression


Mar 31, 2019
Botao Hao, Boxiang Wang, Pengyuan Wang, Jingfei Zhang, Jian Yang, Will Wei Sun

* This version contains the main context only. The appendix containing the technical details of the main theorems is available upon request 

  Access Paper or Ask Questions

Sparse and Low-rank Tensor Estimation via Cubic Sketchings


Jan 29, 2018
Botao Hao, Anru Zhang, Guang Cheng


  Access Paper or Ask Questions

Simultaneous Clustering and Estimation of Heterogeneous Graphical Models


Jan 12, 2018
Botao Hao, Will Wei Sun, Yufeng Liu, Guang Cheng

* 61 pages. Accepted by Journal of Machine Learning Research 

  Access Paper or Ask Questions