Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization
Michael S. Yao, James C. Gee, Osbert Bastani
The goal of offline model-based optimization (MBO) is to propose new designs that maximize a reward function given only an offline dataset. However, an important desiderata is to a…
cs.LG2024
Generative Adversarial Model-Based Optimization via Source Critic Regularization
Michael S. Yao, Yimeng Zeng, Hamsa Bastani +3
Offline model-based optimization seeks to optimize against a learned surrogate model without querying the true oracle objective function during optimization. Such tasks are commonl…