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Marco Cuturi - A Primer on Optimal Transport Part 1
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Marco Cuturi - A Primer on Optimal Transport Part 2
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David Blei Variational Inference Foundations and Innovations Part 2
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New Frontiers in Mathematics: Professor Cédric Villani, “Optimal Transport Theory”
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Riemannian manifolds, kernels and learning
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Arthur Gretton Kernel methods for comparing distributions and training generative models
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Marco Cuturi - A primer on Optimal Transport Theory and Algorithms | MLSS Kraków 2023
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Neil Lawrence - Gaussian Processes Part 1
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Wasserstein Distance & Optimal Transport — Fully Explained
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Shape Analysis (Lecture 19): Optimal transport
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Optimal Transport - Convex Functions
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[DeepBayes2019]: Day 5, Lecture 3. Langevin dynamics for sampling and global optimization
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Marco Cuturi A Primer on Optimal Transport Part 2
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"Optimal Transport for Statistics and Machine Learning" Prof. Philippe Rigollet, MIT
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Marco Cuturi - Computational Optimal Transport
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Optimal Transport - Introduction to Optimal Transport
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Introduction to the Wasserstein distance
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Ferenc Huszár Causal Inference in Everyday Machine Learning Part 1
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An introduction to Gibbs sampling
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