Botao Hao (郝博韬)

Postdoctoral Researcher Department of Electrical Engineering Princeton University Contact Email: haobotao000@gmail.com Address: Engineering Quadrangle, 41 Olden Street, Princeton, New Jersey 08544 [Linkedin] [Google Scholar] [CV]

About Me

I am currently a Postdoctoral Researcher in the Department of Electrical Engineering at Princeton University working with Prof. Mengdi Wang. I got my Ph.D. (2014-2019) in the Department of Statistics at Purdue University advised by Prof. Guang Cheng, and B.S. (2010-2014) in the School of Mathematics at Nankai University.

Previously, I was a research intern at Deepmind in London mentored by Dr. Tor Lattimore and Dr. Csaba Szepesvári (Summer, 2019), and a research intern at Adobe Research in San Jose mentored by Dr. Zheng Wen (Summer, 2018).

News

• Mar. 2020: One paper accepted at IEEE Transactions on Information Theory.
• Jan. 2020: Two papers accepted at AISTATS 2020.
• Oct. 2019: I have defended my Ph.D. dissertation. I will join Princeton University as a Postdoctoral Researcher working with Prof. Mengdi Wang.
• Sep. 2019: I will participate in "Special Year on Optimization, Statistics, and Theoretical Machine Learning" at IAS in Spring 2020.
• Sep. 2019: Two papers accepted (one in NeurIPS 2019, one in JMLR).

Research Interests

• Reinforcement Learning.
• Online Learning & Multi-Armed Bandits.
• Statistical Machine Learning.
• Tensor Learning.
• Recommender Systems & Online Advertising.

Journal Publications

• Sparse and Low-rank Tensor Estimation via Cubic Sketchings
  Botao Hao, Anru Zhang, Guang Cheng
  IEEE Transactions on Information Theory (2020). [slides]
  Accepted in part to AISTATS 2020.


• Nonparametric Bayesian Aggregation for Massive Data
  Zuofeng Shang, Botao Hao, Guang Cheng
  Journal of Machine Learning Research (2019).


• Simultaneous Clustering and Estimation of Heterogeneous Graphical Models
  Botao Hao, Will Wei Sun, Yufeng Liu, Guang Cheng
  Journal of Machine Learning Research (2018). [slides]

Conference Publications

• Adaptive Exploration in Linear Contextual Bandit
  Botao Hao, Tor Lattimore, Csaba Szepesvári
  AISTATS 2020. [slides]


• Bootstrapping Upper Confidence Bound
  Botao Hao, Yasin Abbasi-Yadkori, Zheng Wen, Guang Cheng
  NeurIPS 2019. [poster]

Preprints

• Residual Bootstrap Exploration for Bandit Algorithms
  Chi-Hua Wang*, Yang Yu*, Botao Hao,, Guang Cheng (*equal contribution)
  arXiv:2002.08436, 2020.


• Provably Efficient Adaptive Approximate Policy Iteration
  Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvári
  arXiv:2002.03069 , 2020.


• Sparse Tensor Additive Regression
  Botao Hao, Boxiang Wang, Pengyuan Wang, Jingfei Zhang, Jian Yang, Will Wei Sun
  arXiv:1904.00479 , 2019.