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stat.ML2026
Finding a stationary point of a stochastic convex problem
Felipe Areces, John Duchi, Malo Sommers
We consider the problem of finding stationary points for stochastic convex optimization problems. Rather than surrogates to stationarity, such as a proximity-to-stationarity guaran…
stat.ML2024
Predictive Inference in Multi-environment Scenarios
John C. Duchi, Suyash Gupta, Kuanhao Jiang +1
We address the challenge of constructing valid confidence intervals and sets in problems of prediction across multiple environments. We investigate two types of coverage suitable f…
stat.ML2024
Robust Validation: Confident Predictions Even When Distributions Shift
Maxime Cauchois, Suyash Gupta, Alnur Ali +1
While the traditional viewpoint in machine learning and statistics assumes training and testing samples come from the same population, practice belies this fiction. One strategy --…