Botao Hao

According to our database, Botao Hao authored at least 32 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Efficient Exploration for LLMs.

Vikranth Dwaracherla, Seyed Mohammad Asghari, Botao Hao, Benjamin Van Roy

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Bridging Imitation and Online Reinforcement Learning: An Optimistic Tale.

Botao Hao, Rahul Jain, Dengwang Tang, Zheng Wen

Trans. Mach. Learn. Res., 2023

Efficient Online Learning with Offline Datasets for Infinite Horizon MDPs: A Bayesian Approach.

Dengwang Tang, Rahul Jain, Botao Hao, Zheng Wen

CoRR, 2023

Sequential Best-Arm Identification with Application to Brain-Computer Interface.

Xin Zhou, Botao Hao, Jian Kang, Tor Lattimore, Lexin Li

CoRR, 2023

Sample Efficient Deep Reinforcement Learning via Local Planning.

Dong Yin, Sridhar Thiagarajan, Nevena Lazic, Nived Rajaraman, Botao Hao, Csaba Szepesvári

CoRR, 2023

Leveraging Demonstrations to Improve Online Learning: Quality Matters.

Botao Hao, Rahul Jain, Tor Lattimore, Benjamin Van Roy, Zheng Wen

Proceedings of the International Conference on Machine Learning, 2023

2022

The Neural Testbed: Evaluating Joint Predictions.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Regret Bounds for Information-Directed Reinforcement Learning.

Botao Hao, Tor Lattimore

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Contextual Information-Directed Sampling.

Botao Hao, Tor Lattimore, Chao Qin

Proceedings of the International Conference on Machine Learning, 2022

Interacting Contour Stochastic Gradient Langevin Dynamics.

Wei Deng, Siqi Liang, Botao Hao, Guang Lin, Faming Liang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Efficient local planning with linear function approximation.

Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári

Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

Confident Least Square Value Iteration with Local Access to a Simulator.

Botao Hao, Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvári

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Sparse Tensor Additive Regression.

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

J. Mach. Learn. Res., 2021

Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?

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

CoRR, 2021

Optimization Issues in KL-Constrained Approximate Policy Iteration.

Nevena Lazic, Botao Hao, Yasin Abbasi-Yadkori, Dale Schuurmans, Csaba Szepesvári

CoRR, 2021

Bootstrapping Statistical Inference for Off-Policy Evaluation.

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

CoRR, 2021

Bandit Phase Retrieval.

Tor Lattimore, Botao Hao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Information Directed Sampling for Sparse Linear Bandits.

Botao Hao, Tor Lattimore, Wei Deng

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Bootstrapping Fitted Q-Evaluation for Off-Policy Inference.

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

Proceedings of the 38th International Conference on Machine Learning, 2021

Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient.

Botao Hao, Yaqi Duan, Tor Lattimore, Csaba Szepesvári, Mengdi Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Online Sparse Reinforcement Learning.

Botao Hao, Tor Lattimore, Csaba Szepesvári, Mengdi Wang

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Adaptive Approximate Policy Iteration.

Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvári

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Sparse and Low-Rank Tensor Estimation via Cubic Sketchings.

Botao Hao, Anru Zhang, Guang Cheng

IEEE Trans. Inf. Theory, 2020

Low-rank Tensor Bandits.

Botao Hao, Jie Zhou, Zheng Wen, Will Wei Sun

CoRR, 2020

Residual Bootstrap Exploration for Bandit Algorithms.

Chi-Hua Wang, Yang Yu, Botao Hao, Guang Cheng

CoRR, 2020

Provably Efficient Adaptive Approximate Policy Iteration.

Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvári

CoRR, 2020

High-Dimensional Sparse Linear Bandits.

Botao Hao, Tor Lattimore, Mengdi Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adaptive Exploration in Linear Contextual Bandit.

Botao Hao, Tor Lattimore, Csaba Szepesvári

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Nonparametric Bayesian Aggregation for Massive Data.

Zuofeng Shang, Botao Hao, Guang Cheng

J. Mach. Learn. Res., 2019

Bootstrapping Upper Confidence Bound.

Botao Hao, Yasin Abbasi-Yadkori, Zheng Wen, Guang Cheng

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

CML-IOT 2019: the first workshop on continual and multimodal learning for internet of things.

Tong Yu, Shijia Pan, Susu Xu, Yilin Shen, Botao Hao

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

2017

Simultaneous Clustering and Estimation of Heterogeneous Graphical Models.

Botao Hao, Will Wei Sun, Yufeng Liu, Guang Cheng

J. Mach. Learn. Res., 2017