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cs.LG2026
Separating Geometry from Probability in the Analysis of Generalization
Maxim Raginsky, Benjamin Recht
The goal of machine learning is to find models that minimize prediction error on data that has not yet been seen. Its operational paradigm assumes access to a dataset and artic…
cs.LG2026
Bridging Prediction and Intervention Problems in Social Systems
Lydia T. Liu, Inioluwa Deborah Raji, Angela Zhou +32
Many automated decision systems (ADS) are designed to solve prediction problems -- where the goal is to learn patterns from a sample of the population and apply them to individuals…
cs.LG2025
In Defense of Defensive Forecasting
Juan Carlos Perdomo, Benjamin Recht
This tutorial provides a survey of algorithms for Defensive Forecasting, where predictions are derived not by prognostication but by correcting past mistakes. Pioneered by Vovk, De…