Ryan J. Tibshirani

Identifiers

• name variant Ryan J. Tibshirani 0.60 · backfill

Papers (67)

1. Blackwell Approachability and Gradient Equilibrium are Equivalent cs.LG · 2026 · author #4
2. Asymmetric Penalties Underlie Proper Loss Functions in Probabilistic Forecasting math.ST · 2025 · author #3
3. Gradient Equilibrium in Online Learning: Theory and Applications cs.LG · 2025 · author #3
4. Revisiting Optimism and Model Complexity in the Wake of Overparameterized Machine Learning stat.ML · 2024 · author #3
5. Two-Sample Testing with a Graph-Based Total Variation Integral Probability Metric math.ST · 2024 · author #3
6. Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method math.OC · 2024 · author #1
7. Optimal Ridge Regularization for Out-of-Distribution Prediction math.ST · 2024 · author #3
8. Failures and Successes of Cross-Validation for Early-Stopped Gradient Descent math.ST · 2024 · author #3
9. Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test stat.ML · 2023 · author #4
10. Conformal PID Control for Time Series Prediction cs.LG · 2023 · author #3
11. Class-Conditional Conformal Prediction with Many Classes stat.ML · 2023 · author #5
12. De Finetti's theorem and related results for infinite weighted exchangeable sequences math.ST · 2023 · author #4
13. The Voronoigram: Minimax Estimation of Bounded Variation Functions From Scattered Data stat.ML · 2022 · author #3
14. Unbiased Test Error Estimation in the Poisson Means Problem via Coupled Bootstrap Techniques stat.ME · 2022 · author #3
15. Asymptotics of the Sketched Pseudoinverse math.NA · 2022 · author #5
16. Permutation tests using arbitrary permutation distributions stat.ME · 2022 · author #4
17. Conformal prediction beyond exchangeability stat.ME · 2022 · author #4
18. Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States stat.ME · 2022 · author #14
19. Multivariate Trend Filtering for Lattice Data stat.ML · 2021 · author #4
20. Real-Time Estimation of COVID-19 Infections: Deconvolution and Sensor Fusion stat.AP · 2021 · author #3
21. Recalibrating probabilistic forecasts of epidemics cs.LG · 2021 · author #2
22. Unbiased Risk Estimation in the Normal Means Problem via Coupled Bootstrap Techniques math.ST · 2021 · author #3
23. Minimax Optimal Regression over Sobolev Spaces via Laplacian Eigenmaps on Neighborhood Graphs math.ST · 2021 · author #3
24. Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs math.ST · 2021 · author #3
25. Flexible Model Aggregation for Quantile Regression stat.ML · 2021 · author #5
26. The Implicit Regularization of Stochastic Gradient Flow for Least Squares stat.ML · 2020 · author #3
27. Divided Differences, Falling Factorials, and Discrete Splines: Another Look at Trend Filtering and Related Problems math.ST · 2020 · author #1
28. Modelling High-Dimensional Categorical Data Using Nonconvex Fusion Penalties stat.ME · 2020 · author #3
29. Statistical Guarantees for Local Spectral Clustering on Random Neighborhood Graphs math.ST · 2019 · author #3
30. Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights stat.ME · 2019 · author #4
31. Predictive inference with the jackknife+ stat.ME · 2019 · author #4
32. Conformal Prediction Under Covariate Shift stat.ME · 2019 · author #1
33. A Higher-Order Kolmogorov-Smirnov Test stat.ML · 2019 · author #4
34. Surprises in High-Dimensional Ridgeless Least Squares Interpolation math.ST · 2019 · author #4
35. The limits of distribution-free conditional predictive inference math.ST · 2019 · author #4
36. Post-Selection Inference for Changepoint Detection Algorithms with Application to Copy Number Variation Data stat.ME · 2018 · author #4
37. A Continuous-Time View of Early Stopping for Least Squares stat.ML · 2018 · author #3
38. The Generalized Lasso Problem and Uniqueness math.ST · 2018 · author #2
39. Extended Comparisons of Best Subset Selection, Forward Stepwise Selection, and the Lasso stat.ME · 2017 · author #3
40. Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions stat.CO · 2017 · author #1
41. From Fixed-X to Random-X Regression: Bias-Variance Decompositions, Covariance Penalties, and Prediction Error Estimation stat.ME · 2017 · author #2
42. Additive Models with Trend Filtering stat.ML · 2017 · author #2
43. Excess Optimism: How Biased is the Apparent Error of an Estimator Tuned by SURE? math.ST · 2016 · author #1
44. The DFS Fused Lasso: Linear-Time Denoising over General Graphs math.ST · 2016 · author #4
45. The Multiple Quantile Graphical Model stat.ME · 2016 · author #3
46. Approximate Recovery in Changepoint Problems, from $\ell_2$ Estimation Error Rates stat.ME · 2016 · author #4
47. Exact Post-Selection Inference for Changepoint Detection and Other Generalized Lasso Problems stat.ME · 2016 · author #3
48. Distribution-Free Predictive Inference For Regression stat.ME · 2016 · author #4
49. Uniform Asymptotic Inference and the Bootstrap After Model Selection math.ST · 2015 · author #1
50. High-Dimensional Longitudinal Classification with the Multinomial Fused Lasso stat.AP · 2015 · author #7
51. Nonparametric modal regression stat.ME · 2014 · author #3
52. Trend Filtering on Graphs stat.ML · 2014 · author #4
53. Flexible Modeling of Epidemics with an Empirical Bayes Framework q-bio.PE · 2014 · author #4
54. A General Framework for Fast Stagewise Algorithms stat.ML · 2014 · author #1
55. Fast and Flexible ADMM Algorithms for Trend Filtering stat.ML · 2014 · author #2
56. Rejoinder: "A significance test for the lasso" math.ST · 2014 · author #3
57. The Falling Factorial Basis and Its Statistical Applications stat.ML · 2014 · author #3
58. Degrees of Freedom and Model Search math.ST · 2014 · author #1
59. Exact Post-Selection Inference for Sequential Regression Procedures stat.ME · 2014 · author #1
60. Adaptive piecewise polynomial estimation via trend filtering math.ST · 2013 · author #1
61. A significance test for the lasso math.ST · 2013 · author #3
62. The Lasso Problem and Uniqueness math.ST · 2012 · author #1
63. Degrees of freedom in lasso problems math.ST · 2011 · author #1
64. Strong rules for discarding predictors in lasso-type problems math.ST · 2010 · author #7
65. The solution path of the generalized lasso math.ST · 2010 · author #1
66. A bias correction for the minimum error rate in cross-validation stat.AP · 2009 · author #1
67. Fast computation of the median by successive binning stat.CO · 2008 · author #1

Mentions

• 2505.00937 #3 · arxiv_oai · confidence 0.70 Ryan J. Tibshirani
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Frequent Coauthors

• Aaditya Ramdas 8 shared papers
• Robert Tibshirani 7 shared papers
• Alden Green 6 shared papers
• Emmanuel J. Candes 6 shared papers
• Jonathan Taylor 6 shared papers
• Rina Foygel Barber 6 shared papers
• Alnur Ali 4 shared papers
• Pratik Patil 4 shared papers
• Sivaraman Balakrishnan 4 shared papers
• Yu-Xiang Wang 4 shared papers
• Alessandro Rinaldo 3 shared papers
• Anastasios N. Angelopoulos 3 shared papers
• James Sharpnack 3 shared papers
• Jing Lei 3 shared papers
• Larry Wasserman 3 shared papers
• Max G'Sell 3 shared papers
• Michael I. Jordan 3 shared papers
• Richard Lockhart 3 shared papers
• Roni Rosenfeld 3 shared papers
• Saharon Rosset 3 shared papers