Showing 2025Show all
2 papers · 1 filter
stat.ML2025
Do We Really Even Need Data? A Modern Look at Drawing Inference with Predicted Data
Stephen Salerno, Kentaro Hoffman, Awan Afiaz +3
As artificial intelligence and machine learning tools become more accessible, and scientists face new obstacles to data collection (e.g., rising costs, declining survey response ra…
stat.ML2025
Unique Rashomon Sets for Robust Active Learning
Simon Nguyen, Kentaro Hoffman, Tyler McCormick
Collecting labeled data for machine learning models is often expensive and time-consuming. Active learning addresses this challenge by selectively labeling the most informative obs…