Yanjun Han

I'm a Norbert Wiener postdoctoral associate at the Statistics and Data Science Center (SDSC) in MIT IDSS. My research interests lie in statistical machine learning, high-dimensional and nonparametric statistics, online learning and bandits, and information theory. I received my Ph.D. in Electrical Engineering from Stanford University in Aug 2021, under the supervision of Tsachy Weissman. In 2021-22, I was a postdoctoral scholar at the Simons Institute for the Theory of Computing, University of California, Berkeley. Prior to that, I received my B.E. in Electronic Engineering from Tsinghua University in Jul 2015. Future news: Starting from Sept 2023, I will be an Assistant Professor of Mathematics and Data Science at the Courant Institute of Mathematical Sciences and the Center for Data Science, NYU.

Recent papers

• Minimax Optimal Testing by Classification
  with Patrik R. Gerber and Yury Polyanskiy
  Submitted, Feb 2023.

• Beyond UCB: Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits
  with Nived Rajaraman, Jiantao Jiao, and Kannan Ramchandran
  Preprint, Feb 2023. (slides)

• Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient
  with Dylan J. Foster and Noah Golowich
  Preprint, Jan 2023.

• On the amortized complexity of approximate counting
  with Ishaq Aden-Ali, Jelani Nelson, and Huacheng Yu
  Preprint, Nov 2022.

• Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions
  with Wei Zhang, Zhengyuan Zhou, Aaron Flores, and Tsachy Weissman
  NeurIPS, Nov 2022 (Spotlight).

• Beyond the Best: Estimating Distribution Functionals in Infinite-Armed Bandits
  with Yifei Wang, Tavor Baharav, Jiantao Jiao, and David Tse
  NeurIPS, Nov 2022.

• Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries
  with Nika Haghtalab, Abhishek Shetty, and Kunhe Yang
  NeurIPS, Nov 2022 (Designated as Oral).

• On the Statistical Complexity of Sample Amplification
  with Brian Axelrod, Shivam Garg, Vatsal Sharan, and Gregory Valiant
  Preprint, Jan 2022.

Contact

Email: yjhan [at] mit [dot] edu or yanjunhan [at] nyu [dot] edu

E17-481A, IDSS, MIT
50 Ames St
Cambridge, MA 02142