17 citations · 49 across the 13 of their papers we have counts for
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stat.ML2026
Sufficient Dimesion Reduction via Generalized Stein's Lemma
Ye Tian
Sufficient dimension reduction (SDR) seeks the minimal subspace of the predictors that captures the full conditional distribution of the response, which is known as the central sub…
stat.ML2026
Contaminated Multi-task Learning with Heterogeneity: Fundamental Limits and Optimal Algorithms
Ye Tian, Mengchu Li, Marco Avella Medina
Integrating information across related tasks can improve estimation and prediction in transfer, multi-task, and federated learning, but contamination and heterogeneity make robust…
stat.ME2026
Multi-Source Transfer Learning of Sparse Single-Index Models
Ye Tian
Transfer learning leverages knowledge from related source domains to improve learning in a target domain. Recent theoretical advances cover a broad range of regression settings wit…