Generative Adversarial Model-Based Optimization via Source Critic Regularization Michael S. Yao

Feb-12-2026, 19:53:22 GMT–Neural Information Processing Systems

Offline model-based optimization seeks to optimize against a learned surrogate model without querying the true oracle objective function during optimization.

artificial intelligence, machine learning, optimization, (20 more...)

Neural Information Processing Systems

Feb-12-2026, 19:53:22 GMT

Conferences PDF

Country:
- North America > United States > Pennsylvania (0.04)

Genre:
- Research Report
  - Experimental Study (1.00)
  - New Finding (1.00)

Industry:
- Health & Medicine > Pharmaceuticals & Biotechnology (1.00)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning > Neural Networks (1.00)
  - Representation & Reasoning > Optimization (1.00)

Duplicate Docs Excel Report

Title
Generative Adversarial Model-Based Optimization via Source Critic Regularization Michael S. Yao

Similar Docs Excel Report more

Title	Similarity	Source
None found