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07/19/2023
Revisiting invariances and introducing priors in Gromov-Wasserstein distances
Gromov-Wasserstein distance has found many applications in machine learn...
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03/31/2023
Analysis and Comparison of Two-Level KFAC Methods for Training Deep Neural Networks
As a second-order method, the Natural Gradient Descent (NGD) has the abi...
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05/30/2022
Unbalanced CO-Optimal Transport
Optimal transport (OT) compares probability distributions by computing a...
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01/25/2022
Efficient Approximations of the Fisher Matrix in Neural Networks using Kronecker Product Singular Value Decomposition
Several studies have shown the ability of natural gradient descent to mi...
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10/01/2021
Factored couplings in multi-marginal optimal transport via difference of convex programming
Optimal transport (OT) theory underlies many emerging machine learning (...
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01/20/2021
