
SceneGen: Generative Contextual Scene Augmentation using Scene Graph Priors
Spatial computing experiences are constrained by the realworld surround...
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On the Risk of MinimumNorm Interpolants and Restricted Lower Isometry of Kernels
We study the risk of minimumnorm interpolants of data in a Reproducing ...
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Near Optimal Stratified Sampling
The performance of a machine learning system is usually evaluated by usi...
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Consistency of Interpolation with Laplace Kernels is a HighDimensional Phenomenon
We show that minimumnorm interpolation in the Reproducing Kernel Hilber...
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Gradient Descent Finds Global Minima of Deep Neural Networks
Gradient descent finds a global minimum in training deep neural networks...
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Gradient Descent Provably Optimizes Overparameterized Neural Networks
One of the mystery in the success of neural networks is randomly initial...
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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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Generalization Bounds of SGLD for Nonconvex Learning: Two Theoretical Viewpoints
Algorithmdependent generalization error bounds are central to statistic...
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Xiyu Zhai
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