2 papers
cs.LG2023
A Simple Algorithm For Scaling Up Kernel Methods
Teng Andrea Xu, Bryan Kelly, Semyon Malamud
The recent discovery of the equivalence between infinitely wide neural networks (NNs) in the lazy training regime and Neural Tangent Kernels (NTKs) (Jacot et al., 2018) has revived…
stat.ML2022
Deep Regression Ensembles
Antoine Didisheim, Bryan Kelly, Semyon Malamud
We introduce a methodology for designing and training deep neural networks (DNN) that we call "Deep Regression Ensembles" (DRE). It bridges the gap between DNN and two-layer neural…