| Simultaneous clustering and estimation of heterogeneous graphical models B Hao, WW Sun, Y Liu, G Cheng Journal of Machine Learning Research, 2018 | 37 | 2018 |
| 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 | 33 | 2020 |
| Adaptive exploration in linear contextual bandit B Hao, T Lattimore, C Szepesvari International Conference on Artificial Intelligence and Statistics, 3536-3545, 2020 | 22 | 2020 |
| Bootstrapping upper confidence bound B Hao, Y Abbasi-Yadkori, Z Wen, G Cheng arXiv preprint arXiv:1906.05247, 2019 | 15 | 2019 |
| 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 | 11 | 2021 |
| Adaptive Approximate Policy Iteration B Hao, N Lazic, Y Abbasi-Yadkori, P Joulani, C Szepesvari arXiv preprint arXiv:2002.03069, 2020 | 10 | 2020 |
| 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 | 8 | 2021 |
| High-dimensional sparse linear bandits B Hao, T Lattimore, M Wang arXiv preprint arXiv:2011.04020, 2020 | 7 | 2020 |
| Nonparametric Bayesian Aggregation for Massive Data. Z Shang, B Hao, G Cheng J. Mach. Learn. Res. 20, 140:1-140:81, 2019 | 4 | 2019 |
| Residual bootstrap exploration for bandit algorithms CH Wang, Y Yu, B Hao, G Cheng arXiv preprint arXiv:2002.08436, 2020 | 3 | 2020 |
| Online Sparse Reinforcement Learning B Hao, T Lattimore, C Szepesvári, M Wang International Conference on Artificial Intelligence and Statistics, 316-324, 2021 | 2 | 2021 |
| 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 | 2 | 2021 |
| Low-rank Tensor Bandits B Hao, J Zhou, Z Wen, WW Sun arXiv preprint arXiv:2007.15788, 2020 | 2 | 2020 |
| Bandit Phase Retrieval T Lattimore, B Hao arXiv preprint arXiv:2106.01660, 2021 | 1 | 2021 |
| Simultaneous clustering and estimation of heterogeneous graphical models W Sun, B Hao, Y Liu, G Cheng Retrieved from arXiv 1611, 2016 | 1 | 2016 |
| 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 |
Csaba SzepesvariDeepMind & Department of Computing Science, University of AlbertaVerified email at cs.ualberta.ca
