Scholar
Yanjun Han
Google Scholar ID: hdTDzlQAAAAJ
Assistant Professor, New York University
Citations & Impact
Citations
2,015
H-index
27
i10-index
41
Publications
20
Co-authors
38
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Published several papers, including:
- - Sharp mean-field analysis of permutation mixtures and permutation-invariant decisions, with Yiguo Liang, Sept 2025.
- - Besting Good--Turing: Optimality of Non-Parametric Maximum Likelihood for Distribution Estimation, with Jonathan Niles-Weed, Yandi Shen, and Yihong Wu, Sept 2025.
- - Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed Bandits, with Yuzhou Gu and Jian Qian, NeurIPS 2025 (to appear).
- - Joint Value Estimation and Bidding in Repeated First-Price Auctions, with Yuxiao Wen and Zhengyuan Zhou, Feb 2025.
- - Approximate independence of permutation mixtures, with Jonathan Niles-Weed, Aug 2024.
- - Causal Inference with High-dimensional Discrete Covariates, with Zhenghao Zeng, Sivaraman Balakrishnan, and Edward H. Kennedy, May 2024.
Research Experience
- Postdoctoral scholar at the Simons Institute for the Theory of Computing, University of California, Berkeley, 2021-22; Norbert Wiener postdoctoral associate at the Statistics and Data Science Center (SDSC) in MIT IDSS, 2022-23.
Education
- Received B.E. in Electronic Engineering from Tsinghua University in Jul 2015; M.S. and Ph.D. in Electrical Engineering from Stanford University in Aug 2021, under the supervision of Tsachy Weissman.
Background
- Broadly interested in the mathematics of data science, including statistics, learning theory, bandits, and information theory.
Miscellany
- Contact:
- - Email: yanjunhan [at] nyu [dot] edu
- - Office: WWH 1110 or CDS 705
