Математические методы прогнозирования (практика, В.В. Стрижов)/Группа 574, осень 2019

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Строка 11: Строка 11:
** Variational autoencoder
** Variational autoencoder
** ELBO
** ELBO
 +
* Seminar 6 (Isachenko)
 +
** Generative versus discriminative
 +
* Seminar 7 (Isachenko)
 +
** Zoo of variational autoencoders
 +
* Seminar 8 (Isachenko)
 +
** GAN
* Seminar 2 (Bakhteev)
* Seminar 2 (Bakhteev)
** Methods of model selection
** Methods of model selection
Строка 22: Строка 28:
* Seminar 5 (Aduenko?)
* Seminar 5 (Aduenko?)
** Theorem of number of experts
** Theorem of number of experts
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* Seminar 6 (Isachenko)
 
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** Generative versus discriminative
 
-
* Seminar 7 (Isachenko)
 
-
** Zoo of variational autoencoders
 
-
* Seminar 8 (Isachenko)
 
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** GAN
 
* Seminar 9 (Vladimirova?)
* Seminar 9 (Vladimirova?)
** Prior propagation for deep learning networks
** Prior propagation for deep learning networks

Версия 14:48, 28 августа 2019

Основная статья: Численные методы обучения по прецедентам (практика, В.В. Стрижов)


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This series of seminars continues the course Bayesian model selection and investigates the theoretical aspects of model selection in various application problems.

  • Seminar 1 (Isachenko)
    • Plate notation and Bayesian inference in examples
    • Variational inference
    • Variational autoencoder
    • ELBO
  • Seminar 6 (Isachenko)
    • Generative versus discriminative
  • Seminar 7 (Isachenko)
    • Zoo of variational autoencoders
  • Seminar 8 (Isachenko)
    • GAN
  • Seminar 2 (Bakhteev)
    • Methods of model selection
    • Generalization theorem
  • Seminar 3 (Bakhteev)
    • Complexity theorems
  • Seminar 4 (Grabovoy?)
    • Mixture of experts
    • Priors on the mixture
    • Privileged learning and distilling
  • Seminar 5 (Aduenko?)
    • Theorem of number of experts
  • Seminar 9 (Vladimirova?)
    • Prior propagation for deep learning networks
  • Seminar 10
    • Directional Bayesian statistics
  • Seminar 11
    • Bayesian structure learning
  • Seminar 12
    • Probabilistic metric space construction
  • Seminar 13
    • Informative prior
  • Seminar 14
    • Bayesian programming






  • Informative prior with applications
Источник — «http://machinelearning.ru/wiki/index.php?title=%D0%9C%D0%B0%D1%82%D0%B5%D0%BC%D0%B0%D1%82%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%B8%D0%B5_%D0%BC%D0%B5%D1%82%D0%BE%D0%B4%D1%8B_%D0%BF%D1%80%D0%BE%D0%B3%D0%BD%D0%BE%D0%B7%D0%B8%D1%80%D0%BE%D0%B2%D0%B0%D0%BD%D0%B8%D1%8F_%28%D0%BF%D1%80%D0%B0%D0%BA%D1%82%D0%B8%D0%BA%D0%B0%2C_%D0%92.%D0%92._%D0%A1%D1%82%D1%80%D0%B8%D0%B6%D0%BE%D0%B2%29/%D0%93%D1%80%D1%83%D0%BF%D0%BF%D0%B0_574%2C_%D0%BE%D1%81%D0%B5%D0%BD%D1%8C_2019»
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