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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 • over 4 years ago
Scaling Optimal Transport for High dimensional Learning
Date: May 04, 2020
276 views • over 4 years ago
Mean field theory of neural networks: From stochastic gradient descent to Wasserstein gradient flows
Date: May 08, 2020
226 views • over 4 years ago
Computing Wasserstein barycenters using gradient descent algorithms
Date: May 04, 2020
222 views • over 4 years ago
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems
Date: May 05, 2020
152 views • over 4 years ago
Linear Unbalanced Optimal Transport
Date: May 04, 2020
120 views • over 4 years ago
Learning with entropy-regularized optimal transport
Date: May 08, 2020
109 views • over 4 years ago
Kalman-Wasserstein Gradient Flows
Date: May 05, 2020
95 views • over 4 years ago
Fusion with Optimal Transport
Date: May 07, 2020
75 views • over 4 years ago
From quantization of measures to weighted ultrafast diffusion equations
Date: May 06, 2020
72 views • over 4 years ago
A Deeper Understanding of the Quadratic Wasserstein Metric in Inverse Data Matching
Date: May 05, 2020
56 views • over 4 years ago
Learning with Few Labeled Data
Date: May 07, 2020
55 views • over 4 years ago
Nonlocal-interaction equations on graphs and gradient flows in nonlocal Wasserstein metric
Date: May 08, 2020
55 views • over 4 years ago
From an ODE to accelerated stochastic gradient descent: convergence rate and empirical results
Date: May 07, 2020
54 views • over 4 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 • over 4 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 • over 4 years ago