1.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- CentraleSupélecFR21 papers
- Institut national de recherche en sciences et technologies du numériqueFR13 papers
- Université Paris-SaclayFR11 papers
- OPIS: OPtimisation Imagerie et SantéFR8 papers
- École Centrale ParisFR6 papers
- Bouygues (France)FR4 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Laboratoire d'Informatique Gaspard-MongeFR4 papers
- ESIEE ParisFR3 papers
- KU LeuvenBE3 papers
- Université de MontréalCA3 papers
- Centre Inria de SaclayFR2 papers
3 papers · 1 filter
Learning to Discover Sparse Graphical Models
Eugene Belilovsky, Kyle Kastner, Gaël Varoquaux +1
We consider structure discovery of undirected graphical models from observational data. Inferring likely structures from few examples is a complex task often requiring the formulat…
A Convex Surrogate Operator for General Non-Modular Loss Functions
Jiaqian Yu, Matthew Blaschko
Empirical risk minimization frequently employs convex surrogates to underlying discrete loss functions in order to achieve computational tractability during optimization. However,…
The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses
Jiaqian Yu, Matthew Blaschko
Learning with non-modular losses is an important problem when sets of predictions are made simultaneously. The main tools for constructing convex surrogate loss functions for set p…