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09/25/2020
SceneGen: Generative Contextual Scene Augmentation using Scene Graph Priors
Spatial computing experiences are constrained by the real-world surround...
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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 ...
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06/26/2019
Near Optimal Stratified Sampling
The performance of a machine learning system is usually evaluated by usi...
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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...
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11/09/2018
Gradient Descent Finds Global Minima of Deep Neural Networks
Gradient descent finds a global minimum in training deep neural networks...
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10/04/2018
Gradient Descent Provably Optimizes Over-parameterized Neural Networks
One of the mystery in the success of neural networks is randomly initial...
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05/21/2018
How Many Samples are Needed to Learn a Convolutional Neural Network?
A widespread folklore for explaining the success of convolutional neural...
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07/19/2017