Joint Gaussian Graphical Model Estimation: A Survey. - Katherine Tsai; Oluwasanmi Koyejo; Mladen Kolar (CoRR, 2021)

Latent Multimodal Functional Graphical Model Estimation. - Katherine Tsai; Boxin Zhao; Oluwasanmi Koyejo; Mladen Kolar (CoRR, 2022)

A Nonconvex Framework for Structured Dynamic Covariance Recovery. - Katherine Tsai; Mladen Kolar; Oluwasanmi Koyejo (J. Mach. Learn. Res., 2022)

Adapting to Latent Subgroup Shifts via Concepts and Proxies. - Ibrahim Alabdulmohsin; Nicole Chiou; Alexander D'Amour; Arthur Gretton; Sanmi Koyejo; Matt J. Kusner; Stephen R. Pfohl; Olawale Salaudeen; Jessica Schrouff; Katherine Tsai (AISTATS, 2023)

Goodness-of-Fit of Attributed Probabilistic Graph Generative Models. - Pablo Robles-Granda; Katherine Tsai; Oluwasanmi Koyejo (CoRR, 2023)

Proxy Methods for Domain Adaptation. - Katherine Tsai; Stephen R. Pfohl; Olawale Salaudeen; Nicole Chiou; Matt J. Kusner; Alexander D'Amour; Sanmi Koyejo; Arthur Gretton (AISTATS, 2024)

High-Dimensional Markov-switching Ordinary Differential Processes. - Katherine Tsai; Mladen Kolar; Sanmi Koyejo (CoRR, 2025)

Aligning Compound AI Systems via System-level DPO. - Xiangwen Wang; Yibo Jacky Zhang; Zhoujie Ding; Katherine Tsai; Sanmi Koyejo (CoRR, 2025)