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stat.ME2026
Joint-Sparse Transfer Learning for High-Dimensional Multi-Output Regression
Sunwoo Lim, Mladen Kolar
Multitask linear models can improve estimation and prediction by exploiting structure shared across responses, bridging taskwise fitting and complete pooling. In many applications,…
stat.ME2024
High-Dimensional Markov-switching Ordinary Differential Processes
Katherine Tsai, Mladen Kolar, Sanmi Koyejo
We investigate the parameter recovery of Markov-switching ordinary differential processes from discrete observations, where the differential equations are nonlinear additive models…