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Category Archives: Machine Learning

  1. Which research results will generalize? September 2, 2014

    Posted in Machine Learning.

    No comments
  2. ICML Highlight: Fast Dropout Training August 1, 2013

    Posted in Machine Learning, Recent work.

    No comments
  3. Testing MCMC code, part 1: unit tests May 20, 2013

    Posted in Computation, Machine Learning.

    2 comments
  4. Introspection in AI April 29, 2013

    Posted in Machine Learning, Meta.

    No comments
  5. Machine Learning Glossary April 22, 2013

    Posted in Machine Learning.

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  6. Optimal Spatial Prediction with Kriging April 21, 2013

    Posted in Machine Learning, Statistics.

    No comments
  7. Upcoming Conferences March 24, 2013

    Posted in Machine Learning.

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  8. Variational Inference (part 1) March 22, 2013

    Posted in Machine Learning, Probability, Statistics, Uncategorized.

    No comments
  9. Geometric means of distributions March 18, 2013

    Posted in Machine Learning.

    1 comment
  10. Learning Theory: What Next? March 15, 2013

    Posted in Machine Learning.

    No comments
  11. Data compression and unsupervised learning, Part 2 March 12, 2013

    Posted in Compression, Machine Learning, Ramblings.

    No comments
  12. An Auxiliary Variable Trick for MCMC March 11, 2013

    Posted in Machine Learning, Probability, Recent work.

    1 comment
  13. What is representation learning? February 25, 2013

    Posted in Machine Learning.

    1 comment
  14. High-Dimensional Probability Estimation with Deep Density Models February 22, 2013

    Posted in Machine Learning, Probability, Recent work, Statistics.

    No comments
  15. Data compression and unsupervised learning February 21, 2013

    Posted in Compression, Machine Learning, Ramblings.

    No comments
  16. Learning Theory: Purely Theoretical? February 15, 2013

    Posted in Machine Learning, Meta.

    No comments
  17. Getting above the fray with lifted inference February 8, 2013

    Posted in Computation, Machine Learning.

    No comments
  18. What the hell is representation? * February 6, 2013

    Posted in Machine Learning.

    No comments
  19. Predictive learning vs. representation learning February 4, 2013

    Posted in Machine Learning.

    No comments
  20. Dealing with Reliability when Crowdsourcing January 29, 2013

    Posted in Machine Learning, Statistics.

    No comments
  21. The Natural Gradient January 25, 2013

    Posted in Computation, Machine Learning, Statistics.

    No comments
  22. Complexity of Inference in Bayesian Networks January 24, 2013

    Posted in Machine Learning.

    No comments
  23. Markov chain centenary January 23, 2013

    Posted in Machine Learning, Meta.

    No comments
  24. DPMs and Consistency January 17, 2013

    Posted in Machine Learning, Statistics.

    No comments
  25. Unbiased estimators of partition functions are basically lower bounds January 14, 2013

    Posted in Machine Learning, Statistics.

    No comments