978 citations
- École Normale Supérieure - PSLFR306 papers
- Centre National de la Recherche ScientifiqueFR135 papers
- Institut national de recherche en sciences et technologies du numériqueFR94 papers
- Université Paris Sciences et LettresFR89 papers
- Université Paris CitéFR23 papers
- Sorbonne UniversitéFR19 papers
- SIERRA: Apprentissage Statistique et optimisationFR17 papers
- Université de MontréalCA15 papers
- École Polytechnique Fédérale de LausanneCH14 papers
- Czech Technical University in PragueCZ13 papers
- École PolytechniqueFR13 papers
- University of EdinburghGB13 papers
20 papers · 1 filter
Lattice QCD estimate of the decay rate
Damir Becirevic, Michael Kruse, Francesco Sanfilippo
We compute the hadronic matrix element relevant to the physical radiative decay by means of lattice QCD. We use the (maximally) twisted mass QCD action with Nf=…
The Unreasonable Success of Local Search: Geometric Optimization
Vincent Cohen-Addad, Claire Mathieu
What is the effectiveness of local search algorithms for geometric problems in the plane? We prove that local search with neighborhoods of magnitude is an approximation sch…
Metric Learning for Temporal Sequence Alignment
Damien Garreau, Rémi Lajugie, Sylvain Arlot +1
In this paper, we propose to learn a Mahalanobis distance to perform alignment of multivariate time series. The learning examples for this task are time series for which the true a…
Context-Based Information Retrieval in Risky Environment
Djallel Bouneffouf
Context-Based Information Retrieval is recently modelled as an exploration/ exploitation trade-off (exr/exp) problem, where the system has to choose between maximizing its expected…
Discrete Systolic Inequalities and Decompositions of Triangulated Surfaces
Éric Colin de Verdière, Alfredo Hubard, Arnaud de Mesmay
How much cutting is needed to simplify the topology of a surface? We provide bounds for several instances of this question, for the minimum length of topologically non-trivial clos…
On the Consistency of Ordinal Regression Methods
Fabian Pedregosa, Francis Bach, Alexandre Gramfort
Many of the ordinal regression models that have been proposed in the literature can be seen as methods that minimize a convex surrogate of the zero-one, absolute, or squared loss f…