Botao Hao
Title
Cited by
Cited by
Year
Simultaneous clustering and estimation of heterogeneous graphical models
B Hao, WW Sun, Y Liu, G Cheng
Journal of Machine Learning Research, 2018
372018
Sparse and low-rank tensor estimation via cubic sketchings
B Hao, AR Zhang, G Cheng
International Conference on Artificial Intelligence and Statistics, 1319-1330, 2020
332020
Adaptive exploration in linear contextual bandit
B Hao, T Lattimore, C Szepesvari
International Conference on Artificial Intelligence and Statistics, 3536-3545, 2020
222020
Bootstrapping upper confidence bound
B Hao, Y Abbasi-Yadkori, Z Wen, G Cheng
arXiv preprint arXiv:1906.05247, 2019
152019
Sparse tensor additive regression
B Hao, B Wang, P Wang, J Zhang, J Yang, WW Sun
Journal of Machine Learning Research 22 (64), 1-43, 2021
112021
Adaptive Approximate Policy Iteration
B Hao, N Lazic, Y Abbasi-Yadkori, P Joulani, C Szepesvari
arXiv preprint arXiv:2002.03069, 2020
102020
Sparse feature selection makes batch reinforcement learning more sample efficient
B Hao, Y Duan, T Lattimore, C Szepesvári, M Wang
International Conference on Machine Learning, 4063-4073, 2021
82021
High-dimensional sparse linear bandits
B Hao, T Lattimore, M Wang
arXiv preprint arXiv:2011.04020, 2020
72020
Nonparametric Bayesian Aggregation for Massive Data.
Z Shang, B Hao, G Cheng
J. Mach. Learn. Res. 20, 140:1-140:81, 2019
42019
Residual bootstrap exploration for bandit algorithms
CH Wang, Y Yu, B Hao, G Cheng
arXiv preprint arXiv:2002.08436, 2020
32020
Online Sparse Reinforcement Learning
B Hao, T Lattimore, C Szepesvári, M Wang
International Conference on Artificial Intelligence and Statistics, 316-324, 2021
22021
Bootstrapping Statistical Inference for Off-Policy Evaluation
B Hao, X Ji, Y Duan, H Lu, C Szepesvári, M Wang
arXiv preprint arXiv:2102.03607, 2021
22021
Low-rank Tensor Bandits
B Hao, J Zhou, Z Wen, WW Sun
arXiv preprint arXiv:2007.15788, 2020
22020
Bandit Phase Retrieval
T Lattimore, B Hao
arXiv preprint arXiv:2106.01660, 2021
12021
Simultaneous clustering and estimation of heterogeneous graphical models
W Sun, B Hao, Y Liu, G Cheng
Retrieved from arXiv 1611, 2016
12016
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference
B Hao, X Ji, Y Duan, H Lu, C Szepesvari, M Wang
International Conference on Machine Learning, 4074-4084, 2021
2021
Information Directed Sampling for Sparse Linear Bandits
B Hao, T Lattimore, W Deng
arXiv preprint arXiv:2105.14267, 2021
2021
Optimization Issues in KL-Constrained Approximate Policy Iteration
N Lazić, B Hao, Y Abbasi-Yadkori, D Schuurmans, C Szepesvári
arXiv preprint arXiv:2102.06234, 2021
2021
Statistical Guarantee for Non-Convex Optimization
B Hao
Purdue University Graduate School, 2019
2019
CML-IOT 2019: the first workshop on continual and multimodal learning for internet of things
T Yu, S Pan, S Xu, Y Shen, B Hao
Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019
2019
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