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Statistical Machine Learning Reading Group

Thursdays 1-2 during term time (C1.06).

About: Group of around 15-20 people who meet weekly for a reading group on the (statistical) foundations of Machine Learning. The format is to focus on reading (in sequence) "The Elements of Statistical Learning" by Hastie, Tibshirani, Friedman (a freely available copy is available here). Each chapter will be lead by a presentation group, over a number of weeks (as required for the material), and the presentation group will interleave recent research papers related to the material of the chapter into their presentation. Details of research papers covered will be listed below. It is expected all group participants will attempt to read the material in advance, and will volunteer to present.

Organiser: Sigurd Assing, Cyril Chimisov, Sherman Ip, Murray Pollock.

Website URL: www.warwick.ac.uk/smlrg

Forum: www.warwick.ac.uk/smlrg/ml-seminar

Mailing List Sign-Up: http://mailman1.csv.warwick.ac.uk/mailman/listinfo/machinelearning

Mailing List: machinelearning@listserv.csv.warwick.ac.uk (NB - only approved members can post)

2017/18 Term 2:

  • Week 1 - 11th January -Chapter 7 (Bootstrapping) - Sigurd Assing
  • Week 2 - 18th January - Chapter 8 (Model Inference and Averaging) - Nick Tawn
  • Week 3 - 25th January- Cancelled
  • Week 4 - 1st February - Chapter 8 (Model Inference and Averaging) - Nick Tawn
  • Week 5 - 8th February - Cancelled
  • Week 6 - 15th February - Chapter 11 (Neural Networks) - Henry Jia
  • Week 7 - 22nd February - Chapter 11 (Neural Networks) - Henry Jia
  • Week 8 - 1st March - SOTA Methods and Data Sets (Neural Networks) - Henry Jia
  • Week 9 - 8th March - Chapter 9 (Generalized Additive Models) - Sherman Ip
  • Week 10 - 15th March - Chapter 9 (Tree-Based Methods) - Joe Meagher

2017/18 Term 1:

  • Week 1 - 5th October - Schedule
  • Week 2 - 12th October - Chapter 5 (RKHS) - Sigurd Assing
  • Week 3 - 19th October - Chapter 5 (RKHS) - Sigurd Assing
  • Week 4 - 26th October - Chapter 6 (Kernel Smoothing Methods) - Nick Tawn
  • Week 5 - 2nd November - Chapter 6 (Kernel Smoothing Methods) - Nick Tawn
  • Week 6 - 9th November - Seminar (Hengjian Jia and Cyril Chimisov)
  • Week 7 - 16th November - Chapter 7 (Model Assessment and Selection) - Sherman Ip
  • Week 8 - 23rd November - Chapter 7 (Model Assessment and Selection) - Sherman Ip
  • Week 9 - 30th November -Chapter 7 (Model Assessment and Selection) - Sherman Ip
  • Week 10 - 7th December - Chapter 7 (Bootstrapping) - Sigurd Assing
  • Week 11 - 14th December - On Shrinkage for Smoothing Splines - Sigurd Assing

Resources: