A General Theory for Structured Prediction with Smooth Convex Surrogates

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A General Theory for Structured Prediction with Smooth Convex Surrogates

5 February 2019

Alex Nowak-Vila

Francis R. Bach

Alessandro Rudi

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Papers citing "A General Theory for Structured Prediction with Smooth Convex Surrogates"

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Title
A Statistical Learning Take on the Concordance Index for Survival Analysis Alex Nowak-Vila K. Elgui Geneviève Robin 150 1 0 23 Feb 2023
On the inconsistency of separable losses for structured prediction Caio Corro 56 3 0 25 Jan 2023
Sample Efficient Learning of Predictors that Complement Humans Mohammad-Amin Charusaie Hussein Mozannar David Sontag Samira Samadi 75 34 0 19 Jul 2022
A Case of Exponential Convergence Rates for SVM Vivien A. Cabannes Stefano Vigogna 79 2 0 20 May 2022
Learning Energy Networks with Generalized Fenchel-Young Losses Mathieu Blondel Felipe Llinares-López Robert Dadashi Léonard Hussenot Matthieu Geist 105 7 0 19 May 2022
Surrogate Regret Bounds for Polyhedral Losses Rafael Frongillo Bo Waggoner 60 14 0 26 Oct 2021
Lower-Bounded Proper Losses for Weakly Supervised Classification Shuhei M. Yoshida Takashi Takenouchi Masashi Sugiyama 61 2 0 04 Mar 2021
Fast rates in structured prediction Vivien A. Cabannes Alessandro Rudi Francis R. Bach 433 19 0 01 Feb 2021
A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings Théophile Cantelobre Benjamin Guedj Maria Perez-Ortiz John Shawe-Taylor 91 3 0 07 Dec 2020
Structured Prediction with Projection Oracles Mathieu Blondel 118 33 0 24 Oct 2019
Learning with Fenchel-Young Losses Mathieu Blondel André F. T. Martins Vlad Niculae 200 137 0 08 Jan 2019