The NIPS Workshop on Multi-class and Multi-label Learning in Extremely Large Label Spaces
Saturday, 12th December 2015, Montreal, Canada
Extreme Delights
Please click on the talk title to access the slides presented at the workshop.

The workshop venue is Room 511f on level 5 of the NIPS convention centre. Participants at this year's workshop will have an option of staying back during the lunch break for John Langford's Vowpal Wabbit 8.1 tutorial from 13:15 - 14:15. This is an additional feature not directly related to the workshop, though John might touch upon extreme multi-class algorithms, and participants are free to choose between lunch and the tutorial (fast eaters can choose both!)

08:00 - 08:10 Introduction Manik Varma and Moustapha Cisse

Extreme Multi-class Classification

08:10 - 08:40 Samy Bengio (Google) Sharing is Caring in the Land of The Long Tail
08:40 - 09:10 Yiming Yang (CMU) Large-scale Structured Learning for Statistical Classification
09:10 - 09:40 Paul Mineiro (Microsoft) Eigenpartition Trees for Extreme Classification
09:40 - 10:10 Panel discussion with Samy, Yiming & Paul chaired by John Langford
10:10 - 10:30 Coffee break

Extreme Theory

10:30 – 11:00 Marius Kloft (HU Berlin) Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms
11:00 – 11:30 Krzysztof Dembczynski (UT Poznan) Extreme F-measure Maximization
11:30 – 12:00 Ohad Shamir (Weizmann Institute) Multiclass-Multilabel Classification with More Classes than Example
12:00 – 12:30 Panel discussion with Marius, Krzysztof and Mehryar Mohri chaired by Prateek Jain
12:30 – 14:30 Lunch with an option to attend John Langford's Vowpal Wabbit 8.1 tutorial from 13:15 - 14:15.

Performance Evaluation in Long Tail Applications

14:30 – 15:00 Asela Gunawardana (Microsoft) Evaluating Machine Learned User Experiences>
15:00 – 15:30 Noam Koenigstein (Microsoft) Implicit Feedback and Performance Evaluation in Recommender Systems
15:30 – 16:00 Panel discussion with Asela, Noam, Armand Juolin and Patrice Simard chaired by Manik Varma
16:00 – 16:30 Coffee break

Extreme Multi-label Learning

16:30 – 17:00 Charles Elkan (Amazon/UCSD) Massive Sparse Multilabel Learning
17:00 – 17:30 David Belanger (UMass) Scaling up Multilabel Classification using Structured Prediction Energy Networks
17:30 – 18:00 Michiel Stock (Ghent) A two-step method to incorporate task features for large output spaces
18:00 – 18:30 Panel discussion with Charles, Manik, David and Michiel chaired by Moustapha Cisse