7 citations · 20 across the 5 of their papers we have counts for
5 papers
A Statistical Learning Take on the Concordance Index for Survival Analysis
Alex Nowak-Vila, Kevin Elgui, Genevieve Robin
The introduction of machine learning (ML) techniques to the field of survival analysis has increased the flexibility of modeling approaches, and ML based models have become state-o…
Consistent Structured Prediction with Max-Min Margin Markov Networks
Alex Nowak-Vila, Francis Bach, Alessandro Rudi
Max-margin methods for binary classification such as the support vector machine (SVM) have been extended to the structured prediction setting under the name of max-margin Markov ne…
Structured and Localized Image Restoration
Thomas Eboli, Alex Nowak-Vila, Jian Sun +3
We present a novel approach to image restoration that leverages ideas from localized structured prediction and non-linear multi-task learning. We optimize a penalized energy functi…
A General Theory for Structured Prediction with Smooth Convex Surrogates
Alex Nowak-Vila, Francis Bach, Alessandro Rudi
In this work we provide a theoretical framework for structured prediction that generalizes the existing theory of surrogate methods for binary and multiclass classification based o…
Sharp Analysis of Learning with Discrete Losses
Alex Nowak-Vila, Francis Bach, Alessandro Rudi
The problem of devising learning strategies for discrete losses (e.g., multilabeling, ranking) is currently addressed with methods and theoretical analyses ad-hoc for each loss. In…