Yanjun Han

Assistant Professor of Mathematics and Data Science, Courant Institute of Mathematical Sciences, Center for Data Science, and Computer Science Department (affiliated), New York University I received my B.E. in Electronic Engineering from Tsinghua University in Jul 2015, and my M.S. and Ph.D. in Electrical Engineering from Stanford University in Aug 2021, under the supervision of Tsachy Weissman. I was a postdoctoral scholar at the Simons Institute for the Theory of Computing, University of California, Berkeley in 2021-22, and a Norbert Wiener postdoctoral associate at the Statistics and Data Science Center (SDSC) in MIT IDSS in 2022-23. I am broadly interested in the mathematics of data science, including statistics, learning theory, bandits, and information theory.

Recent papers

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

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

• Leveraging Product Variations for Personalized Dynamic Pricing
  with Srikanth Jagabathula and Zhengyuan Zhou
  Submitted, May 2023.

• Online Learning in Multi-unit Auctions
  with Simina Brânzei, Mahsa Derakhshan, and Negin Golrezaei
  Submitted, May 2023.

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

Contact

Email: yanjunhan [at] nyu [dot] edu

Office: WWH 1110 or CDS 705