Ryan J. Tibshirani

CoRR, 2024

2023

Flexible Model Aggregation for Quantile Regression.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

Maximum Mean Discrepancy Meets Neural Networks: The Radon-Kolmogorov-Smirnov Test.

[BibT_eX]

[DOI]

CoRR, 2023

Class-Conditional Conformal Prediction with Many Classes.

[BibT_eX]

[DOI]

Tiffany Ding

Anastasios Angelopoulos

Stephen Bates

Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Conformal PID Control for Time Series Prediction.

[BibT_eX]

[DOI]

Anastasios Angelopoulos

Emmanuel J. Candès

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Recalibrating probabilistic forecasts of epidemics.

[BibT_eX]

[DOI]

Aaron Rumack

Roni Rosenfeld

PLoS Comput. Biol., December, 2022

Divided Differences, Falling Factorials, and Discrete Splines: Another Look at Trend Filtering and Related Problems.

[BibT_eX]

[DOI]

Found. Trends Mach. Learn., 2022

The Voronoigram: Minimax Estimation of Bounded Variation Functions From Scattered Data.

[BibT_eX]

[DOI]

Addison J. Hu

Alden Green

CoRR, 2022

Asymptotics of the Sketched Pseudoinverse.

[BibT_eX]

[DOI]

CoRR, 2022

Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression.

[BibT_eX]

[DOI]

Pratik Patil

Alessandro Rinaldo

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Epidemic tracking and forecasting: Lessons learned from a tumultuous year.

[BibT_eX]

[DOI]

Roni Rosenfeld

Proc. Natl. Acad. Sci. USA, 2021

Statistical Guarantees for Local Spectral Clustering on Random Neighborhood Graphs.

[BibT_eX]

[DOI]

Alden Green

Sivaraman Balakrishnan

J. Mach. Learn. Res., 2021

Multivariate Trend Filtering for Lattice Data.

[BibT_eX]

[DOI]

Addison J. Hu

CoRR, 2021

Deep Quantile Aggregation.

[BibT_eX]

[DOI]

CoRR, 2021

Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs.

[BibT_eX]

[DOI]

Alden Green

Sivaraman Balakrishnan

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

The Implicit Regularization of Stochastic Gradient Flow for Least Squares.

[BibT_eX]

[DOI]

Alnur Ali

Edgar Dobriban

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Surprises in High-Dimensional Ridgeless Least Squares Interpolation.

[BibT_eX]

[DOI]

CoRR, 2019

Conformal Prediction Under Covariate Shift.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Higher-Order Kolmogorov-Smirnov Test.

[BibT_eX]

[DOI]

Aaditya Ramdas

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

A Continuous-Time View of Early Stopping for Least Squares Regression.

[BibT_eX]

[DOI]

Alnur Ali

J. Zico Kolter

Oscar Hernan Madrid Padilla

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Nonmechanistic forecasts of seasonal influenza with iterative one-week-ahead distributions.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2018

2017

A human judgment approach to epidemiological forecasting.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2017

The DFS Fused Lasso: Linear-Time Denoising over General Graphs.

[BibT_eX]

[DOI]

James Sharpnack

James G. Scott

J. Mach. Learn. Res., 2017

Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

James Sharpnack

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Trend Filtering on Graphs.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2016

Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

The Multiple Quantile Graphical Model.

[BibT_eX]

[DOI]

Alnur Ali

J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Graph Sparsification Approaches for Laplacian Smoothing.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Flexible Modeling of Epidemics with an Empirical Bayes Framework.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2015

A general framework for fast stagewise algorithms.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2015

2014

Fast and Flexible ADMM Algorithms for Trend Filtering.

[BibT_eX]

[DOI]

Aaditya Ramdas

CoRR, 2014

Efficient Implementations of the Generalized Lasso Dual Path Algorithm.

[BibT_eX]

[DOI]

Taylor B. Arnold

CoRR, 2014

The Falling Factorial Basis and Its Statistical Applications.

[BibT_eX]

[DOI]

Alexander J. Smola

Proceedings of the 31th International Conference on Machine Learning, 2014

2011

Nearly-Isotonic Regression.

[BibT_eX]

[DOI]

Holger Höfling

Robert Tibshirani

Technometrics, 2011

2008

Fast computation of the median by successive binning

[BibT_eX]

[DOI]