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ML Sessions 2019
Unsupervised / Semi-Supervised Learning
Upcoming session: 21st November, 14:00 - 15:30, Teknikringen 14, room 523 (5th floor).
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Read papers
2019-10-24 | Small Data Challenges in Big Data Era: Survey of Recent Progress on Unsupervised and Semi-Supervised Methods |
2019-11-07 | Block Neural Autoregressive Flow |
Generalization in Machine Learning
Read papers
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MCMC #3 - 7. Mar. 2019
Markov Chain Monte Carlo and Variational Inference: Bridging the Gap
http://proceedings.mlr.press/v37/salimans15.pdf
MCMC #2 - 21. Feb. 2019
An Introduction to MCMC for Machine Learning (second part plus coding)
fhttps://www.cs.ubc.ca/~arnaud/andrieu_defreitas_doucet_jordan_intromontecarlomachinelearning.pdf
MCMC #1 - 7. Feb. 2019
An Introduction to MCMC for Machine Learning (part 1)
fhttps://www.cs.ubc.ca/~arnaud/andrieu_defreitas_doucet_jordan_intromontecarlomachinelearning.pdf
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Interpretable ML #6 - Application Session 24. Jan. 2019
Interpretable ML #5 - 7. Jan. 2019
A causal framework for explaining the predictions of black-box sequence-to-sequence models
https://people.csail.mit.edu/tommi/papers/AlvJaa_EMNLP2017.pdf