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Thomas George

2 accepted papers

2021

Implicit Regularization via Neural Feature Alignment

AISTATS 2021poster

We approach the problem of implicit regularization in deep learning from a geometrical viewpoint. We highlight a regularization effect induced by a dynamical alignment ofthe neural tangent features introduced by Jacot et al. (2018), along a small number of task-relevant directions. This can be inter…

2018

Fast Approximate Natural Gradient Descent in a Kronecker Factored Eigenbasis

NeurIPS 2018poster

Optimization algorithms that leverage gradient covariance information, such as variants of natural gradient descent (Amari, 1998), offer the prospect of yielding more effective descent directions. For models with many parameters, the covari- ance matrix they are based on becomes gigantic, making the…

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