Ryan J. Tibshirani
Orcid: 0000-0002-2158-8304
According to our database1,
Ryan J. Tibshirani
authored at least 41 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Revisiting Optimism and Model Complexity in the Wake of Overparameterized Machine Learning.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
PLoS Comput. Biol., December, 2022
Divided Differences, Falling Factorials, and Discrete Splines: Another Look at Trend Filtering and Related Problems.
Found. Trends Mach. Learn., 2022
The Voronoigram: Minimax Estimation of Bounded Variation Functions From Scattered Data.
CoRR, 2022
Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Proc. Natl. Acad. Sci. USA, 2021
J. Mach. Learn. Res., 2021
Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions.
PLoS Comput. Biol., 2018
2017
J. Mach. Learn. Res., 2017
Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2016
Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
PLoS Comput. Biol., 2015
2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2011
2008