MSRI- [Moved Online] Hot Topics: Optimal transport and applications to machine learning and statistics
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Title: Nonlocal-interaction equations on graphs and gradient flows in nonlocal Wasserstein metric
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Title: Mean field theory of neural networks: From stochastic gradient descent to Wasserstein gradient flows
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Title: Analysis of Gradient Descent on Wide Two-Layer ReLU Neural Networks
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Title: Learning with entropy-regularized optimal transport
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Title: Fusion with Optimal Transport
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Title: Learning with Few Labeled Data
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Title: From an ODE to accelerated stochastic gradient descent: convergence rate and empirical results
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Title: Regularity theory and uniform convergence in the large data limit of graph Laplacian eigenvectors on random data clouds.
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Title: Equality of the Jellium and Uniform Electron Gas next-order asymptotic terms for Coulomb and Riesz potentials
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Title: From quantization of measures to weighted ultrafast diffusion equations
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Title: A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems
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Title: A Deeper Understanding of the Quadratic Wasserstein Metric in Inverse Data Matching
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Title: Kalman-Wasserstein Gradient Flows
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Title: Computing Wasserstein barycenters using gradient descent algorithms
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Title: Linear Unbalanced Optimal Transport
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Title: Scaling Optimal Transport for High dimensional Learning
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Title: Welcome
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