Tibshirani, Ryan

7 publications

AISTATS 2024 Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent Pratik Patil, Yuchen Wu, Ryan Tibshirani

ICML 2024 Optimal Ridge Regularization for Out-of-Distribution Prediction Pratik Patil, Jin-Hong Du, Ryan Tibshirani

AISTATS 2022 Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression Pratik Patil, Alessandro Rinaldo, Ryan Tibshirani

AISTATS 2021 Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs Alden Green, Sivaraman Balakrishnan, Ryan Tibshirani

AISTATS 2021 Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression Pratik Patil, Yuting Wei, Alessandro Rinaldo, Ryan Tibshirani

ICML 2020 The Implicit Regularization of Stochastic Gradient Flow for Least Squares Alnur Ali, Edgar Dobriban, Ryan Tibshirani

ICML 2014 The Falling Factorial Basis and Its Statistical Applications Yu-Xiang Wang, Alex Smola, Ryan Tibshirani