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Learning with Few Labeled Data 07-May-2020 02:00 PM PDT - 07-May-2020 03:00 PM PDT
Showing 1 - 17 of 17 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
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Mean field theory of neural networks: From stochastic gradient descent to Wasserstein gradient flows
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Computing Wasserstein barycenters using gradient descent algorithms
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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
Welcome
Date: May 04, 2020
119 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
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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
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
Stable Matching as Transportation
Date: November 06, 2023
No views • about 1 year ago