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Botao Hao
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Simultaneous clustering and estimation of heterogeneous graphical models
B Hao, WW Sun, Y Liu, G Cheng
Journal of Machine Learning Research, 2018
482018
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
442020
Adaptive exploration in linear contextual bandit
B Hao, T Lattimore, C Szepesvari
International Conference on Artificial Intelligence and Statistics, 3536-3545, 2020
352020
Bootstrapping upper confidence bound
B Hao, Y Abbasi-Yadkori, Z Wen, G Cheng
33rd Conference on Neural Information Processing Systems, 2019
282019
High-dimensional sparse linear bandits
B Hao, T Lattimore, M Wang
34th Conference on Neural Information Processing Systems, 2020
202020
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
172021
Online sparse reinforcement learning
B Hao, T Lattimore, C Szepesvári, M Wang
International Conference on Artificial Intelligence and Statistics, 316-324, 2021
172021
Adaptive approximate policy iteration
B Hao, N Lazic, Y Abbasi-Yadkori, P Joulani, C Szepesvari
152020
Sparse tensor additive regression
B Hao, B Wang, P Wang, J Zhang, J Yang, WW Sun
Journal of machine learning research 22, 2021
132021
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
102021
Residual bootstrap exploration for bandit algorithms
CH Wang, Y Yu, B Hao, G Cheng
arXiv preprint arXiv:2002.08436, 2020
82020
Bandit phase retrieval
T Lattimore, B Hao
Advances in Neural Information Processing Systems 34, 18801-18811, 2021
62021
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
62021
Information directed sampling for sparse linear bandits
B Hao, T Lattimore, W Deng
Advances in Neural Information Processing Systems 34, 16738-16750, 2021
52021
Nonparametric Bayesian Aggregation for Massive Data.
Z Shang, B Hao, G Cheng
J. Mach. Learn. Res. 20, 140:1-140:81, 2019
52019
Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?
I Osband, Z Wen, SM Asghari, V Dwaracherla, B Hao, M Ibrahimi, ...
arXiv preprint arXiv:2110.04629, 2021
42021
Tensors in modern statistical learning
WW Sun, B Hao, L Li
Wiley StatsRef: Statistics Reference Online, 1-25, 2014
42014
Efficient local planning with linear function approximation
D Yin, B Hao, Y Abbasi-Yadkori, N Lazić, C Szepesvári
International Conference on Algorithmic Learning Theory, 1165-1192, 2022
32022
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
32021
Low-rank tensor bandits
B Hao, J Zhou, Z Wen, WW Sun
arXiv preprint arXiv:2007.15788, 2020
32020
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Artículos 1–20