183 citations · 706 across the 60 of their papers we have counts for
Showing 2019 · cs.LGShow all
2 papers · 2 filters
cs.LG2019★ 7 cited
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…
cs.LG2019★ 4 cited
Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance
Ulysse Marteau-Ferey, Dmitrii Ostrovskii, Francis Bach +1
We consider learning methods based on the regularization of a convex empirical risk by a squared Hilbertian norm, a setting that includes linear predictors and non-linear predictor…