Publications · selected

Papers on machine learning, bandits, and robustness.

Conference papers, workshop papers, and research artifacts from CMU, NUS, and related collaborations. Google Scholar ->

research

2023

NeurIPS

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

ICLR Workshop

Predicting Out-of-Distribution Error with Confidence Optimal Transport

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

research

2022

AISTATS

Best Arm Identification with Safety Constraints

Zhenlin Wang, Andrew Wagenmaker, Kevin Jamieson

research

2021

NUS Thesis

An Information-Theoretic Approach for Distributionally Robust Bayesian Optimization

Zhenlin Wang