Seminars

Magnet seminars are usually held in room B21 on Thursdays, 11am. Check below for upcoming seminars and potential changes of schedule/location. You may also import the Magnet seminars public feed into your favorite calendar app. For further information, contact Aurélien.

Upcoming seminars

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WhenWhat
Thu, November 7, 2019
11:00 am
12:00 pm

Where? Inria B21
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Institutional tag: 

Inria MAGNET

Thematic tag(s): 

Machine learning
Statistics




Label ranking is the supervised problem of learning a mapping from a general feature space to the space of full rankings. In this talk, I will briefly explain the key concepts of ranking data, and present two families of (non-parametric) methods we developed for label ranking. The first one [1] adapts well-known partition methods (k-nearest neighbor and tree-based methods) for ranking data. These predictive rules build a partition of the feature space from the data, and compute efficiently (approximate) Kemeny ranking aggregation at a local level. The second one [2] adopts the least square surrogate loss approach from structured prediction, that solves a supervised learning problem in two steps: a regression step in a well-chosen feature space and a pre-image (or decoding) step. We use specific feature maps/embeddings for ranking data, which convert any ranking/permutation into a vector representation.


[1] Ranking Median Regression: Learning to Order through Local Consensus. (ALT 2018) Stephan Clémençon, Anna Korba and Eric Sibony.
[2] A Structured Prediction Approach for Label Ranking. (NIPS 2018) Anna Korba, Alexandre Garcia, Florence D’Alché Buc.


Dates: 

Thursday, November 7, 2019 - 11:00 to 12:00

Location: 

Inria B21

Speaker(s): 

Anna Korba

Previous seminars (over the past year)