[DeepBayes2018]: Day 5, Lecture 5. Stochastic Markov chain Monte Carlo

Lecturer: Dmitry Vetrov

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4 years ago 01:41:54 1

[DeepBayes2018]: Day 3, Invited talk 1. Advanced methods of variational inference

6 years ago 00:28:11 63

[DeepBayes2018]: Day 1, practical session 2. Bayesian reasoning

6 years ago 01:31:59 35

[DeepBayes2018]: Day 1, lecture 3. Models with latent variables and EM-algorithm

6 years ago 00:43:32 16

[DeepBayes2018]: Day 1, practical session 4. EM-algorithm (part 1)

6 years ago 00:07:32 5

[DeepBayes2018]: Day 1, practical session 5. EM-algorithm (part 2)

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[DeepBayes2018]: Day 2, lecture 1. Introduction to stochastic optimization

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[DeepBayes2018]: Day 2, lecture 2. Scalable Bayesian methods

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[DeepBayes2018]: Day 2, lecture 3. Variational autoencoders

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[DeepBayes2018]: Day 2, lecture 4. Discrete latent variables

6 years ago 00:21:51 1

[DeepBayes2018]: Day 2, practical session 5. Variational autoencoders

6 years ago 01:05:49 9

[DeepBayes2018]: Day 3, IT 2. Reinforcement learning through the lense of variational inference

6 years ago 00:59:27 2

[DeepBayes2018]: Day 3, Practical session 3. Reinforcement learning

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[DeepBayes2018]: Day 3, lecture 4. Distributional reinforcement learning

6 years ago 00:27:38 5

[DeepBayes2018]: Day 3, Practical session 5. Distributional reinforcement learning

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[DeepBayes2018]: Day 4, lecture 1. Generative models

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[DeepBayes2018]: Day 4, Practical session 2. Adversarial learning

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[DeepBayes2018]: Day 4, Invited talk 3. Extending the Reparameterization Trick

6 years ago 00:31:35 2

[DeepBayes2018]: Day 4, Sponsor talk 4. Yaroslav LabutinRymsho. Samsung Research

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[DeepBayes2018]: Day 5, Lecture 1. Gaussian processes

6 years ago 01:22:19 6

[DeepBayes2018]: Day 5, Practical session 2. Bayesian optimization

6 years ago 01:35:43 2

[DeepBayes2018]: Day 5, Invited talk 3. Deep Gaussian processes

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[DeepBayes2018]: Day 5, lecture 4. Markov chain Monte Carlo

6 years ago 01:08:29 3

[DeepBayes2018]: Day 5, Lecture 5. Stochastic Markov chain Monte Carlo

6 years ago 01:21:06 2

[DeepBayes2018]: Day 6, Lecture 1. Bayesian neural networks and variational dropout

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