
On the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking
Author(s) -
Clément Calauzènes,
Nicolas Usunier,
Patrick Gallinari
Publication year - 2012
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - ranking (information retrieval) , metric (unit) , pairwise comparison , calibration , rank (graph theory) , mathematical optimization , function (biology) , mathematics , regular polygon , computer science , task (project management) , minification , learning to rank , convex function , artificial intelligence , machine learning , statistics , combinatorics , engineering , geometry , operations management , systems engineering , evolutionary biology , biology