Botao Hao - RankMe

50 papers A* 12A 5B 1Journal 31Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Simple Regret Algorithms for Stochastic Contextual Bandits. CoRR Shuai Liu, Alireza Bakhtiari, Alex Ayoub, Botao Hao, Csaba Szepesvári
2024	A*	`conf`	Efficient Exploration for LLMs. ICML Vikranth Dwaracherla, Seyed Mohammad Asghari, Botao Hao, Benjamin Van Roy
2024	J	`jnl`	Efficient Exploration for LLMs. CoRR Vikranth Dwaracherla, Seyed Mohammad Asghari, Botao Hao, Benjamin Van Roy
2024	J	`jnl`	Sequential Best-Arm Identification with Application to P300 Speller. Trans. Mach. Learn. Res. Xin Zhou, Botao Hao, Tor Lattimore, Jian Kang, Lexin Li
2023	J	`jnl`	Bridging Imitation and Online Reinforcement Learning: An Optimistic Tale. CoRR Botao Hao, Rahul Jain, Dengwang Tang, Zheng Wen
2023	J	`jnl`	Bridging Imitation and Online Reinforcement Learning: An Optimistic Tale. Trans. Mach. Learn. Res. Botao Hao, Rahul Jain, Dengwang Tang, Zheng Wen
2023	J	`jnl`	Efficient Online Learning with Offline Datasets for Infinite Horizon MDPs: A Bayesian Approach. CoRR Dengwang Tang, Rahul Jain, Botao Hao, Zheng Wen
2023	A*	`conf`	Leveraging Demonstrations to Improve Online Learning: Quality Matters. ICML Botao Hao, Rahul Jain, Tor Lattimore, Benjamin Van Roy, Zheng Wen
2023	J	`jnl`	Leveraging Demonstrations to Improve Online Learning: Quality Matters. CoRR Botao Hao, Rahul Jain, Tor Lattimore, Benjamin Van Roy, Zheng Wen
2023	J	`jnl`	Sample Efficient Deep Reinforcement Learning via Local Planning. CoRR Dong Yin, Sridhar Thiagarajan, Nevena Lazic, Nived Rajaraman, Botao Hao, Csaba Szepesvári
2023	J	`jnl`	Sequential Best-Arm Identification with Application to Brain-Computer Interface. CoRR Xin Zhou, Botao Hao, Jian Kang, Tor Lattimore, Lexin Li
2022	A	`conf`	Confident Least Square Value Iteration with Local Access to a Simulator. AISTATS Botao Hao, Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvári
2022	A*	`conf`	Contextual Information-Directed Sampling. ICML Botao Hao, Tor Lattimore, Chao Qin
2022	J	`jnl`	Contextual Information-Directed Sampling. CoRR Botao Hao, Tor Lattimore, Chao Qin
2022	B	`conf`	Efficient local planning with linear function approximation. ALT Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári
2022	A*	`conf`	Interacting Contour Stochastic Gradient Langevin Dynamics. ICLR Wei Deng, Siqi Liang, Botao Hao, Guang Lin, Faming Liang
2022	J	`jnl`	Interacting Contour Stochastic Gradient Langevin Dynamics. CoRR Wei Deng, Siqi Liang, Botao Hao, Guang Lin, Faming Liang
2022	A*	`conf`	Regret Bounds for Information-Directed Reinforcement Learning. NeurIPS Botao Hao, Tor Lattimore
2022	J	`jnl`	Regret Bounds for Information-Directed Reinforcement Learning. CoRR Botao Hao, Tor Lattimore
2022	A*	`conf`	The Neural Testbed: Evaluating Joint Predictions. NeurIPS Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Dieterich Lawson, Botao Hao, Brendan O'Donoghue, Benjamin Van Roy
2021	A	`conf`	Adaptive Approximate Policy Iteration. AISTATS Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvári
2021	A*	`conf`	Bandit Phase Retrieval. NeurIPS Tor Lattimore, Botao Hao
2021	J	`jnl`	Bandit Phase Retrieval. CoRR Tor Lattimore, Botao Hao
2021	A*	`conf`	Bootstrapping Fitted Q-Evaluation for Off-Policy Inference. ICML Botao Hao, Xiang Ji, Yaqi Duan, Hao Lu, Csaba Szepesvári, Mengdi Wang
2021	J	`jnl`	Bootstrapping Statistical Inference for Off-Policy Evaluation. CoRR Botao Hao, Xiang Ji, Yaqi Duan, Hao Lu, Csaba Szepesvári, Mengdi Wang
2021	J	`jnl`	Efficient Local Planning with Linear Function Approximation. CoRR Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári
2021	J	`jnl`	Evaluating Predictive Distributions: Does Bayesian Deep Learning Work? CoRR Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Botao Hao, Morteza Ibrahimi, Dieterich Lawson, Xiuyuan Lu, Brendan O'Donoghue, Benjamin Van Roy
2021	A*	`conf`	Information Directed Sampling for Sparse Linear Bandits. NeurIPS Botao Hao, Tor Lattimore, Wei Deng
2021	J	`jnl`	Information Directed Sampling for Sparse Linear Bandits. CoRR Botao Hao, Tor Lattimore, Wei Deng
2021	A	`conf`	Online Sparse Reinforcement Learning. AISTATS Botao Hao, Tor Lattimore, Csaba Szepesvári, Mengdi Wang
2021	J	`jnl`	Optimization Issues in KL-Constrained Approximate Policy Iteration. CoRR Nevena Lazic, Botao Hao, Yasin Abbasi-Yadkori, Dale Schuurmans, Csaba Szepesvári
2021	A*	`conf`	Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient. ICML Botao Hao, Yaqi Duan, Tor Lattimore, Csaba Szepesvári, Mengdi Wang
2021	J	`jnl`	Sparse Tensor Additive Regression. J. Mach. Learn. Res. Botao Hao, Boxiang Wang, Pengyuan Wang, Jingfei Zhang, Jian Yang, Will Wei Sun
2020	A	`conf`	Adaptive Exploration in Linear Contextual Bandit. AISTATS Botao Hao, Tor Lattimore, Csaba Szepesvári
2020	A*	`conf`	High-Dimensional Sparse Linear Bandits. NeurIPS Botao Hao, Tor Lattimore, Mengdi Wang
2020	J	`jnl`	High-Dimensional Sparse Linear Bandits. CoRR Botao Hao, Tor Lattimore, Mengdi Wang
2020	J	`jnl`	Low-rank Tensor Bandits. CoRR Botao Hao, Jie Zhou, Zheng Wen, Will Wei Sun
2020	J	`jnl`	Online Sparse Reinforcement Learning. CoRR Botao Hao, Tor Lattimore, Csaba Szepesvári, Mengdi Wang
2020	J	`jnl`	Provably Efficient Adaptive Approximate Policy Iteration. CoRR Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvári
2020	J	`jnl`	Residual Bootstrap Exploration for Bandit Algorithms. CoRR Chi-hua Wang, Yang Yu, Botao Hao, Guang Cheng
2020	J	`jnl`	Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient. CoRR Botao Hao, Yaqi Duan, Tor Lattimore, Csaba Szepesvári, Mengdi Wang
2020	J	`jnl`	Sparse and Low-Rank Tensor Estimation via Cubic Sketchings. IEEE Trans. Inf. Theory Botao Hao, Anru Zhang, Guang Cheng
2020	A	`conf`	Sparse and Low-rank Tensor Estimation via Cubic Sketchings. AISTATS Botao Hao, Anru R. Zhang, Guang Cheng
2019	J	`jnl`	Adaptive Exploration in Linear Contextual Bandit. CoRR Botao Hao, Tor Lattimore, Csaba Szepesvári
2019	A*	`conf`	Bootstrapping Upper Confidence Bound. NeurIPS Botao Hao, Yasin Abbasi-Yadkori, Zheng Wen, Guang Cheng
2019	J	`jnl`	Bootstrapping Upper Confidence Bound. CoRR Botao Hao, Yasin Abbasi-Yadkori, Zheng Wen, Guang Cheng
2019	—	`conf`	CML-IOT 2019: the first workshop on continual and multimodal learning for internet of things. UbiComp/ISWC Adjunct Tong Yu, Shijia Pan, Susu Xu, Yilin Shen, Botao Hao
2019	J	`jnl`	Nonparametric Bayesian Aggregation for Massive Data. J. Mach. Learn. Res. Zuofeng Shang, Botao Hao, Guang Cheng
2019	J	`jnl`	Sparse Tensor Additive Regression. CoRR Botao Hao, Boxiang Wang, Pengyuan Wang, Jingfei Zhang, Jian Yang, Will Wei Sun
2017	J	`jnl`	Simultaneous Clustering and Estimation of Heterogeneous Graphical Models. J. Mach. Learn. Res. Botao Hao, Will Wei Sun, Yufeng Liu, Guang Cheng