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Welcome 04-May-2020 09:15 AM PDT - 04-May-2020 09:30 AM PDT

Showing 1 - 16 of 16 matches

Analysis of Gradient Descent on Wide Two-Layer ReLU Neural Networks Date: May 08, 2020 458 views • about 3 years ago

Scaling Optimal Transport for High dimensional Learning Date: May 04, 2020 276 views • about 3 years ago

Mean field theory of neural networks: From stochastic gradient descent to Wasserstein gradient flows Date: May 08, 2020 226 views • about 3 years ago

Computing Wasserstein barycenters using gradient descent algorithms Date: May 04, 2020 222 views • about 3 years ago

A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems Date: May 05, 2020 149 views • about 3 years ago

Linear Unbalanced Optimal Transport Date: May 04, 2020 120 views • about 3 years ago

Learning with entropy-regularized optimal transport Date: May 08, 2020 107 views • about 3 years ago

Kalman-Wasserstein Gradient Flows Date: May 05, 2020 95 views • about 3 years ago

Fusion with Optimal Transport Date: May 07, 2020 75 views • about 3 years ago

From quantization of measures to weighted ultrafast diffusion equations Date: May 06, 2020 72 views • about 3 years ago

A Deeper Understanding of the Quadratic Wasserstein Metric in Inverse Data Matching Date: May 05, 2020 56 views • about 3 years ago

Learning with Few Labeled Data Date: May 07, 2020 55 views • about 3 years ago

Nonlocal-interaction equations on graphs and gradient flows in nonlocal Wasserstein metric Date: May 08, 2020 55 views • about 3 years ago

From an ODE to accelerated stochastic gradient descent: convergence rate and empirical results Date: May 07, 2020 54 views • about 3 years ago

Equality of the Jellium and Uniform Electron Gas next-order asymptotic terms for Coulomb and Riesz potentials Date: May 06, 2020 51 views • about 3 years ago

Regularity theory and uniform convergence in the large data limit of graph Laplacian eigenvectors on random data clouds Date: May 07, 2020 39 views • about 3 years ago