Network optimization is a crucial step in the field of deep learning, as...
We study the close interplay between error and compression in the
non-pa...
We study universal consistency and convergence rates of simple
nearest-n...
We show that a recently proposed 1-nearest-neighbor-based multiclass lea...
Latent variable models with hidden binary units appear in various
applic...
We show that a simple modification of the 1-nearest neighbor classifier
...
We present a novel approach for learning an HMM whose outputs are distri...