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20192026
most citedA Sieve Quasi-likelihood Ratio Test for Neural Networks with Applications to Genetic Association Studies

4 citations · 5 across the 6 of their papers we have counts for

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2 papers · 1 filter

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…