Research

• Characterizing Out-of-Distribution Error via Optimal Transport

  Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia Sycara

  NeurIPS 2023 Main Conference
  [paper][code]

• Predicting Out-of-Distribution Error with Confidence Optimal Transport

  Yuzhe Lu, Zhenlin Wang, Runtian Zhai, Soheil Kolouri, Joseph Campbell, Katia Sycara.

  ICLR 2023 Workshop on Pitfalls of limited data and computation for Trustworthy ML
  [paper][code]

• Best Arm Identification with Safety Constraints

  Zhenlin Wang, Andrew Wagenmaker, Kevin Jamieson

  AISTATS 2022 Main Conference
  [paper]

• Max-min Grouped Bandits

  Zhenlin Wang, Jonathan Scarlett

  AAAI 2022 Main Conference
  [paper][poster]

• An Information-Theoretic Approach for Distributionally Robust Bayesian Optimization

  Thesis for NUS B.S. in Applied Mathematics
  [paper][slides]