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03/28/2022
Understanding out-of-distribution accuracies through quantifying difficulty of test samples
Existing works show that although modern neural networks achieve remarka...
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06/30/2021
Deep Linear Networks Dynamics: Low-Rank Biases Induced by Initialization Scale and L2 Regularization
For deep linear networks (DLN), various hyperparameters alter the dynami...
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05/25/2021
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
We study how permutation symmetries in overparameterized multi-layer neu...
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06/17/2020
Kernel Alignment Risk Estimator: Risk Prediction from Training Data
We study the risk (i.e. generalization error) of Kernel Ridge Regression...
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02/19/2020
Implicit Regularization of Random Feature Models
Random Feature (RF) models are used as efficient parametric approximatio...
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07/05/2019