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Regularity theory and uniform convergence in the large data limit of graph Laplacian eigenvectors on random data clouds 07-May-2020 09:30 AM PDT - 07-May-2020 10:30 AM PDT
Showing 1 - 16 of 16 matches
Analysis of Gradient Descent on Wide Two-Layer ReLU Neural Networks
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Scaling Optimal Transport for High dimensional Learning
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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
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Linear Unbalanced Optimal Transport
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Welcome
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Learning with entropy-regularized optimal transport
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Kalman-Wasserstein Gradient Flows
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Fusion with Optimal Transport
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From quantization of measures to weighted ultrafast diffusion equations
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A Deeper Understanding of the Quadratic Wasserstein Metric in Inverse Data Matching
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Learning with Few Labeled Data
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Nonlocal-interaction equations on graphs and gradient flows in nonlocal Wasserstein metric
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From an ODE to accelerated stochastic gradient descent: convergence rate and empirical results
Date: May 07, 2020
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Equality of the Jellium and Uniform Electron Gas next-order asymptotic terms for Coulomb and Riesz potentials
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