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Botao Hao
Botao Hao
OpenAI
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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 18 (217), 1-58, 2018
752018
Adaptive exploration in linear contextual bandit
B Hao, T Lattimore, C Szepesvari
International Conference on Artificial Intelligence and Statistics, 3536-3545, 2020
652020
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
612020
Bootstrapping upper confidence bound
B Hao, Y Abbasi-Yadkori, Z Wen, G Cheng
33rd Conference on Neural Information Processing Systems, 2019
612019
High-dimensional sparse linear bandits
B Hao, T Lattimore, M Wang
34th Conference on Neural Information Processing Systems, 2020
602020
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
372021
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
362021
Online sparse reinforcement learning
B Hao, T Lattimore, C Szepesvári, M Wang
International Conference on Artificial Intelligence and Statistics, 316-324, 2021
292021
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
272021
Adaptive approximate policy iteration
B Hao, N Lazic, Y Abbasi-Yadkori, P Joulani, C Szepesvari
Proceedings of the 24th International Conference on Artificial Intelligence …, 2020
26*2020
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
252022
Residual bootstrap exploration for bandit algorithms
CH Wang, Y Yu, B Hao, G Cheng
arXiv preprint arXiv:2002.08436, 2020
202020
Information directed sampling for sparse linear bandits
B Hao, T Lattimore, W Deng
Advances in Neural Information Processing Systems 34, 16738-16750, 2021
192021
Regret Bounds for Information-Directed Reinforcement Learning
B Hao, T Lattimore
Advances in Neural Information Processing Systems, 2022
172022
The neural testbed: Evaluating joint predictions
I Osband, Z Wen, SM Asghari, V Dwaracherla, X Lu, M Ibrahimi, ...
Advances in Neural Information Processing Systems 35, 12554-12565, 2022
162022
Contextual information-directed sampling
B Hao, T Lattimore, C Qin
International Conference on Machine Learning, 8446-8464, 2022
162022
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
162021
Interacting Contour Stochastic Gradient Langevin Dynamics
W Deng, S Liang, B Hao, G Lin, F Liang
The Tenth International Conference on Learning Representations, 2022
132022
Bandit phase retrieval
T Lattimore, B Hao
Advances in Neural Information Processing Systems 34, 18801-18811, 2021
112021
Low-rank tensor bandits
B Hao, J Zhou, Z Wen, WW Sun
arXiv e-prints, arXiv: 2007.15788, 2020
112020
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Articles 1–20