4 citations · 5 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
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…
A Sieve Quasi-likelihood Ratio Test for Neural Networks with Applications to Genetic Association Studies
Xiaoxi Shen, Chang Jiang, Lyudmila Sakhanenko +1
Neural networks (NN) play a central role in modern Artificial intelligence (AI) technology and has been successfully used in areas such as natural language processing and image rec…
Consistency of Neural Networks with Regularization
Xiaoxi Shen, Jinghang Lin
Neural networks have attracted a lot of attention due to its success in applications such as natural language processing and computer vision. For large scale data, due to the treme…