10.6k citations
- Télécom ParisFR516 papers
- Centre National de la Recherche ScientifiqueFR356 papers
- ParisTechFR240 papers
- Université Paris-SaclayFR115 papers
- Université Paris-SudFR106 papers
- University of CambridgeGB95 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR94 papers
- Institut d'Astrophysique de ParisFR92 papers
- Sapienza University of RomeIT91 papers
- Imperial College LondonGB90 papers
- University of TorontoCA90 papers
- California Institute of TechnologyUS89 papers
5 papers · 2 filters
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses
Pierre Laforgue, Alex Lambert, Luc Brogat-Motte +1
Operator-Valued Kernels (OVKs) and associated vector-valued Reproducing Kernel Hilbert Spaces provide an elegant way to extend scalar kernel methods when the output space is a Hilb…
The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth Measure
Guillaume Staerman, Pavlo Mozharovskyi, Stephan Clémençon
With the ubiquity of sensors in the IoT era, statistical observations are becoming increasingly available in the form of massive (multivariate) time-series. Formulated as unsupervi…
On Tree-based Methods for Similarity Learning
Stéphan Clémençon, Robin Vogel
In many situations, the choice of an adequate similarity measure or metric on the feature space dramatically determines the performance of machine learning methods. Building automa…
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance
Kimia Nadjahi, Alain Durmus, Umut Şimşekli +1
Minimum expected distance estimation (MEDE) algorithms have been widely used for probabilistic models with intractable likelihood functions and they have become increasingly popula…
Functional Isolation Forest
Guillaume Staerman, Pavlo Mozharovskyi, Stephan Clémençon +1
For the purpose of monitoring the behavior of complex infrastructures (e.g. aircrafts, transport or energy networks), high-rate sensors are deployed to capture multivariate data, g…