research
∙
09/25/2020
SceneGen: Generative Contextual Scene Augmentation using Scene Graph Priors
Spatial computing experiences are constrained by the real-world surround...
share
research
∙
08/27/2019
On the Risk of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels
We study the risk of minimum-norm interpolants of data in a Reproducing ...
research
∙
06/26/2019
Near Optimal Stratified Sampling
The performance of a machine learning system is usually evaluated by usi...
research
∙
12/28/2018
Consistency of Interpolation with Laplace Kernels is a High-Dimensional Phenomenon
We show that minimum-norm interpolation in the Reproducing Kernel Hilber...
research
∙
11/09/2018
Gradient Descent Finds Global Minima of Deep Neural Networks
Gradient descent finds a global minimum in training deep neural networks...
research
∙
10/04/2018
Gradient Descent Provably Optimizes Over-parameterized Neural Networks
One of the mystery in the success of neural networks is randomly initial...
research
∙
05/21/2018
How Many Samples are Needed to Learn a Convolutional Neural Network?
A widespread folklore for explaining the success of convolutional neural...
research
∙
07/19/2017
