Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models. - Michael C. Hughes; William T. Stephenson; Erik B. Sudderth (NIPS, 2015)

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)

A Swiss Army Infinitesimal Jackknife. - Ryan Giordano; William T. Stephenson; Runjing Liu; Michael I. Jordan; Tamara Broderick (AISTATS, 2019)

Sparse Approximate Cross-Validation for High-Dimensional GLMs. - William T. Stephenson; Tamara Broderick (CoRR, 2019)

Approximate Cross-Validation in High Dimensions with Guarantees. - William T. Stephenson; Tamara Broderick (AISTATS, 2020)

Approximate Cross-Validation for Structured Models. - Soumya Ghosh; William T. Stephenson; Tin D. Nguyen; Sameer K. Deshpande; Tamara Broderick (NeurIPS, 2020)

Approximate Cross-Validation with Low-Rank Data in High Dimensions. - William T. Stephenson; Madeleine Udell; Tamara Broderick (NeurIPS, 2020)

Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression. - William T. Stephenson; Zachary Frangella; Madeleine Udell; Tamara Broderick (NeurIPS, 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)

Measuring the robustness of Gaussian processes to kernel choice. - William T. Stephenson; Soumya Ghosh; Tin D. Nguyen; Mikhail Yurochkin; Sameer K. Deshpande; Tamara Broderick (AISTATS, 2022)

Faster and easier: cross-validation and model robustness checks. - William T. Stephenson (2022)

Common Functional Decompositions Can Mis-attribute Differences in Outcomes Between Populations. - Manuel Quintero; William T. Stephenson; Advik Shreekumar; Tamara Broderick (CoRR, 2025)