2 papers
stat.ML2026
Variable Importance Identification Through Lazy Training for Binary Classification
Anand Singh, Luke Pennella, Eshan Kabir +1
Deep neural networks have been widely used in many applications (e.g., computer vision and natural language processing); however, understanding their explainability remains a chall…
stat.ML2026
Statistical Guarantees for Distributionally Robust Optimization with Optimal Transport and OT-Regularized Divergences
Jeremiah Birrell, Xiaoxi Shen
We study finite-sample statistical performance guarantees for distributionally robust optimization (DRO) with optimal transport (OT) and OT-regularized divergence model neighborhoo…