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From an ODE to accelerated stochastic gradient descent: convergence rate and empirical results 07-May-2020 11:00 AM PDT - 07-May-2020 12:00 PM PDT
Showing 1 - 17 of 17 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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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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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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Equality of the Jellium and Uniform Electron Gas next-order asymptotic terms for Coulomb and Riesz potentials
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Regularity theory and uniform convergence in the large data limit of graph Laplacian eigenvectors on random data clouds
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Manipulation-Robust Citizens' Assembly Selection
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