Welcome
These pages are here for historical interest. You probably want the latest pages instead.
The Gatsby machine learning Journal Club meets on Mondays 11:30–1:30pm on the Gatsby 4th floor seminar room.
Our schedule is flexible, but roughly decided a few weeks in advance by those that come along. Each week you should try to read at least one of the papers suggested.
Please take a look at our list of possible future topics, which also links to supplementary reading.
Also relevant is what we covered last year: Gatsby MLJC 2003.
Rough Schedule
- 2pm Thursday 30th September 2004 — embedded hidden Markov models
- Some time 2004 — Annealing review
- 23rd August 2004 — No Meeting
- 16th August 2004 — Non-reversible MCMC
- 9th August 2004 — MCUS
- 2nd August 2004 — Nearest Neighbours
- 26th July 2004 — Reductions for Machine Learning and Tropical Geometry
- 28th June 2004 — Alan Yuille
- 21st June 2004 — Regeneration
- Wednesday 16th June 2004 — Introduction to learning theory
- 7th June 2004 — "All of Statistics"
- 31st May 2004 — Bank Holiday
- 24th May 2004 — Crosswords
- Thursday 13th May 2004 — Max Margin Markov Networks
- 10th May 2004 — Meeting displaced
- Thursday 6th May 2004 — Hierarchical Dirichlet Processes
- 3rd May 2004 — Bank Holiday
- 26th April 2004 — Nested Sampling
- 19th April 2004 — No meeting
- 12th April 2004 — Bank Holiday
- 5th April 2004 — BayeSys
- 29th March 2004 — No meeting
- 22nd March 2004 — Fill's algorithm
- 15th March 2004 — Large Deviations and GPs, Randomised algorithms
- 8th March 2004 — Bound Propagation
- 1st March 2004 — Gene Regulatory Networks
- 23rd February 2004 — More Stochastic processes
- 16th February 2004 — Pitmann Lecture notes
- 1:30pm 9th February 2004 — Randomized Algorithms
- 2nd February 2004 — Spam Filtering
- 26th January 2004 — Learning graph structure
- 1pm 19th January 2004 — NIPS Highlights