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06/18/2022
Adversarial Robustness is at Odds with Lazy Training
Recent works show that random neural networks are vulnerable against adv...
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10/23/2020
On Convergence and Generalization of Dropout Training
We study dropout in two-layer neural networks with rectified linear unit...
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03/06/2020
Dropout: Explicit Forms and Capacity Control
We investigate the capacity control provided by dropout in various machi...
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05/28/2019
On Dropout and Nuclear Norm Regularization
We give a formal and complete characterization of the explicit regulariz...
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08/02/2018
Streaming Kernel PCA with Õ(√(n)) Random Features
We study the statistical and computational aspects of kernel principal c...
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06/26/2018
On the Implicit Bias of Dropout
Algorithmic approaches endow deep learning systems with implicit bias th...
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02/22/2017
Stochastic Approximation for Canonical Correlation Analysis
We study canonical correlation analysis (CCA) as a stochastic optimizati...
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11/04/2016