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stat.ML2024
A Margin-based Multiclass Generalization Bound via Geometric Complexity
Michael Munn, Benoit Dherin, Javier Gonzalvo
There has been considerable effort to better understand the generalization capabilities of deep neural networks both as a means to unlock a theoretical understanding of their succe…
stat.ML2024
Corridor Geometry in Gradient-Based Optimization
Benoit Dherin, Mihaela Rosca
We characterize regions of a loss surface as corridors when the continuous curves of steepest descent -- the solutions of the gradient flow -- become straight lines. We show that c…