On Structured Prediction Theory with Calibrated Convex Surrogate Losses

7 March 2017

Papers citing "On Structured Prediction Theory with Calibrated Convex Surrogate Losses"

8 / 8 papers shown

Title
A Consistent Regularization Approach for Structured Prediction C. Ciliberto Alessandro Rudi Lorenzo Rosasco 129 79 0 24 May 2016
Structured Prediction Theory Based on Factor Graph Complexity Corinna Cortes M. Mohri Vitaly Kuznetsov Scott Yang OOD 49 55 0 20 May 2016
Training Deep Neural Networks via Direct Loss Minimization Yang Song Alex Schwing R. Zemel R. Urtasun 65 102 0 19 Nov 2015
Convex Calibration Dimension for Multiclass Loss Matrices H. G. Ramaswamy S. Agarwal 48 47 0 12 Aug 2014
On the Consistency of Ordinal Regression Methods Fabian Pedregosa Francis R. Bach Alexandre Gramfort MoMe 48 67 0 11 Aug 2014
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning Francesco Orabona 140 103 0 15 Jun 2014
A Hybrid Loss for Multiclass and Structured Prediction Javen Qinfeng Shi Mark D. Reid T. Caetano Anton Van Den Hengel Zhenhua Wang 40 7 0 09 Feb 2014
Surrogate Regret Bounds for Bipartite Ranking via Strongly Proper Losses S. Agarwal 76 63 0 02 Jul 2012