William T. Stephenson

According to our database, William T. Stephenson authored at least 14 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Do covariates explain why these groups differ? The choice of reference group can reverse conclusions in the Oaxaca-Blinder decomposition.

Manuel Quintero, Advik Shreekumar, William T. Stephenson, Tamara Broderick

CoRR, March, 2026

2025

Common Functional Decompositions Can Mis-attribute Differences in Outcomes Between Populations.

Manuel Quintero, William T. Stephenson, Advik Shreekumar, Tamara Broderick

CoRR, April, 2025

2022

Faster and easier: cross-validation and model robustness checks.

William T. Stephenson

PhD thesis, 2022

Measuring the robustness of Gaussian processes to kernel choice.

William T. Stephenson, Soumya Ghosh, Tin D. Nguyen, Mikhail Yurochkin, Sameer K. Deshpande, Tamara Broderick

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

2021

Measuring the sensitivity of Gaussian processes to kernel choice.

William T. Stephenson, Soumya Ghosh, Tin D. Nguyen, Mikhail Yurochkin, Sameer K. Deshpande, Tamara Broderick

CoRR, 2021

Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression.

William T. Stephenson, Zachary Frangella, Madeleine Udell, Tamara Broderick

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Approximate Cross-Validation with Low-Rank Data in High Dimensions.

William T. Stephenson, Madeleine Udell, Tamara Broderick

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Approximate Cross-Validation for Structured Models.

Soumya Ghosh, William T. Stephenson, Tin D. Nguyen, Sameer K. Deshpande, Tamara Broderick

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Approximate Cross-Validation in High Dimensions with Guarantees.

William T. Stephenson, Tamara Broderick

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Sparse Approximate Cross-Validation for High-Dimensional GLMs.

William T. Stephenson, Tamara Broderick

CoRR, 2019

A Swiss Army Infinitesimal Jackknife.

Ryan Giordano, William T. Stephenson, Runjing Liu, Michael I. Jordan, Tamara Broderick

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

2018

Reconstructing probabilistic trees of cellular differentiation from single-cell RNA-seq data.

Miriam Shiffman, William T. Stephenson, Geoffrey Schiebinger, Jonathan H. Huggins, Trevor Campbell, Aviv Regev, Tamara Broderick

CoRR, 2018

2017

Global-Local Airborne Mapping (GLAM): Reconstructing a City from Aerial Videos.

Hasnain Vohra, Maxim Bazik, Matthew Antone, Joseph Mundy, William T. Stephenson

CoRR, 2017

2015

Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models.

Michael C. Hughes, William T. Stephenson, Erik B. Sudderth

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015