| Joint Gaussian graphical model estimation: A survey K Tsai, O Koyejo, M Kolar Wiley Interdisciplinary Reviews: Computational Statistics 14 (6), e1582, 2022 | 16 | 2022 |
| Adapting to latent subgroup shifts via concepts and proxies I Alabdulmohsin, N Chiou, A D’Amour, A Gretton, S Koyejo, MJ Kusner, ... International Conference on Artificial Intelligence and Statistics, 9637-9661, 2023 | 7 | 2023 |
| Latent multimodal functional graphical model estimation K Tsai, B Zhao, S Koyejo, M Kolar Journal of the American Statistical Association, 1-13, 2024 | 2 | 2024 |
| A non-convex framework for structured non-stationary covariance recovery theory and application K Tsai | 2 | 2020 |
| A nonconvex framework for structured dynamic covariance recovery K Tsai, M Kolar, O Koyejo Journal of machine learning research 23 (200), 1-91, 2022 | 1 | 2022 |
| Proxy Methods for Domain Adaptation K Tsai, SR Pfohl, O Salaudeen, N Chiou, M Kusner, A D’Amour, S Koyejo, ... International Conference on Artificial Intelligence and Statistics, 3961-3969, 2024 | | 2024 |
| Goodness-of-Fit of Attributed Probabilistic Graph Generative Models P Robles-Granda, K Tsai, O Koyejo arXiv preprint arXiv:2308.03773, 2023 | | 2023 |
Mladen KolarThe University of Chicago, Booth School of BusinessVerified email at chicagobooth.edu
