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Ye Yuan

ye.yuan@mila.quebec
PhD - McGill University
Supervisor
Xue (Steve) Liu
Website
Github
Google Scholar

Publications

Importance-aware Co-teaching for Offline Model-based Optimization
Ye Yuan
Can Chen
Zixuan Liu
Willie Neiswanger
Xue (Steve) Liu
Offline model-based optimization aims to find a design that maximizes a property of interest using only an offline dataset, with application… (see more)s in robot, protein, and molecule design, among others. A prevalent approach is gradient ascent, where a proxy model is trained on the offline dataset and then used to optimize the design. This method suffers from an out-of-distribution issue, where the proxy is not accurate for unseen designs. To mitigate this issue, we explore using a pseudo-labeler to generate valuable data for fine-tuning the proxy. Specifically, we propose
2023-09-21
NeurIPS.cc/2023/Conference (poster)
openreview.net
openreview.net
Importance-aware Co-teaching for Offline Model-based Optimization
Ye Yuan
Can Chen
Zixuan Liu
Willie Neiswanger
Xue (Steve) Liu
openreview.net