4 papers · 1 filter
Position: Prioritize Identifying Structure, Not Complex Models, for Scientific Discovery
Tyler H. McCormick
Modern Machine Learning (ML) and Artificial Intelligence (AI) models, especially large language models (LLMs), are increasingly used to generate scientific hypotheses and mechanist…
Rashomon-Seeded Annealing for Robust Bayesian Inference in Factorial Designs
Yiyang Fan, Soumyakanti Pan, Tyler H. McCormick
Integrating over model uncertainty in factorial designs via Bayesian model averaging is hindered by the combinatorial explosion of interpretable interaction effects, often yielding…
REALITrees: Rashomon Ensemble Active Learning for Interpretable Trees
Simon D. Nguyen, Hayden McTavish, Kentaro Hoffman +2
Active learning reduces labeling costs by selecting samples that maximize information gain. A dominant framework, Query-by-Committee (QBC), typically relies on perturbation-based d…
Adaptive Active Learning for Regression via Reinforcement Learning
Simon D. Nguyen, Troy Russo, Kentaro Hoffman +1
Active learning for regression reduces labeling costs by selecting the most informative samples. Improved Greedy Sampling is a prominent method that balances feature-space diversit…