Search Results for author:
Found 3 papers, 0 papers with code
Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery
Drug discovery is a complex process that involves sequentially screening and examining a vast array of molecules to identify those with the target properties.
Language Model Prompt Selection via Simulation Optimization
We propose sequentially selecting the prompt for evaluation based on this constructed surrogate model.
Causal inference with Machine Learning-Based Covariate Representation
Utilizing covariate information has been a powerful approach to improve the efficiency and accuracy for causal inference, which support massive amount of randomized experiments run on data-driven enterprises.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
