Tutorial Session: Variational Bayes and Beyond: Bayesian Inference for Big Data

Теорема Байеса, геометрия изменения убеждений

Tamara Broderick: Variational Bayes and Beyond: Bayesian Inference for Big Data (ICML 2018 tutorial)

Nima Arkani-Hamed: The End of Space-Time

Efficient Bayesian inference with Hamiltonian Monte Carlo -- Michael Betancourt (Part 1)

[DeepBayes2019]: Day 1, Lecture 3. Variational inference

Variational Inference: Foundations and Modern Methods (NIPS 2016 tutorial)

Bayesian Deep Learning and Probabilistic Model Construction - ICML 2020 Tutorial

Dirichlet Process Mixture Models and Gibbs Sampling

Вариационные автоэнкодеры

Краткое введение в энтропию, кросс-энтропию и KL-дивергенцию

Bayesian Statistics without Frequentist Language

Complexity and Gravity - Leonard Susskind

Майкл Бетанкур: Масштабируемый байесовский вывод с гамильтоновым Монте-Карло

Awards from IJCAI, the International Joint Conference on Artificial Intellige 2192356910905283

MLSS 2019 David Blei: Variational Inference: Foundations and Innovations (Part 1)

History of Bayesian Neural Networks (Keynote talk)

Probabilistic Programming and Bayesian Modeling with PyMC3 - Christopher Fonnesbeck

Nonparametric Bayesian Methods: Models, Algorithms, and Applications I

Variational Inference | Evidence Lower Bound (ELBO) | Intuition & Visualization

Fast Quantification of Uncertainty and Robustness with Variational Bayes