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Spring 2014

Jan 23
Planning meeting

This semester, we will try to read more about some of the ML techniques that people here already use for their work. They will lead the discussion on that particular topic. Below are the currently scheduled topics. Other topics proposed during the planning meeting were ILP, structured prediction and streaming algorithms.

Readings will be a mix of tutorials and papers.

Feb 6

Autoencoders (Carina Silberer)

Feb 13
Recurrent Neural Networks (Xingxing Zhang)
Adaptive Gradient Descent (Michael Roth)

Feb 20
Variational Inference (Daniel Renshaw)

Feb 27
Variational Inference [contd]

Mar 6
Particle Filters (Lea Frermann)
"A Tutorial an Particle Filtering and Smoothing: Fifteen years later" (Doucet and Johansen, 2008)

Mar 13
Mar 20

ILP (Kristian Woodsend)

Mar 27
April 3
April 10
April 17
April 24

Spring 2012

3pm, Thursday 6th September, room 1.16 (Planning Meeting)

  • Discuss ideas for topics to be presented
  • Discuss whether or not you are happy for our meetings to become more exercise-based

3pm, Thursday 13th September, Room 3.02 (Information Theory Primer)

3pm, Thursday 20th September, Room 4.02 (Information Theory MacKay )

  • Chapter 2 of MacKay (pages 34-48 of the pdf, pages 22 -- 36 of the book), and focus on solutions:
    • Generation and inference:
      • Exercise 2.4
      • Exercise 2.5
      • Example 2.6

3pm, Thursday 27th September, room 4.02 (Information Theory MacKay )

  • Chapter 2 of MacKay (pages 34-48 of the pdf, pages 22 -- 36 of the book), and focus on solutions:
    • Bayesian predictive distribution:
      • Exercise 2.8
    • Jensen's inequality (important for all versions of EM):
      • Exercise 2.14
      • Example 2.15

3pm, Thursday 4th October, room 4.02 (Hypothesis Testing)

Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms

3pm, Thursday 18th October, room 4.02 (Variational EM)

bkj-VBwalkthrough.pdf: Variational EM

Meetings in 2011

Topic revision: r1 - 15 Sep 2014 - 15:08:58 - Main.s1231888
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