542 citations · 1.1k across the 46 of their papers we have counts for
3 papers · 1 filter
Structured Low-Rank Tensors for Generalized Linear Models
Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa
Recent works have shown that imposing tensor structures on the coefficient tensor in regression problems can lead to more reliable parameter estimation and lower sample complexity…
Minibatching Offers Improved Generalization Performance for Second Order Optimizers
Eric Silk, Swarnita Chakraborty, Nairanjana Dasgupta +3
Training deep neural networks (DNNs) used in modern machine learning is computationally expensive. Machine learning scientists, therefore, rely on stochastic first-order methods fo…
Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models
Andrew Engel, Zhichao Wang, Natalie S. Frank +4
A recent trend in explainable AI research has focused on surrogate modeling, where neural networks are approximated as simpler ML algorithms such as kernel machines. A second trend…