1k citations
- Université Toulouse III - Paul SabatierFR936 papers
- Centre National de la Recherche ScientifiqueFR543 papers
- Institut National des Sciences Appliquées de ToulouseFR543 papers
- Université de ToulouseFR306 papers
- Toulouse Mathematics Institute172 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR155 papers
- Institut Universitaire de FranceFR37 papers
- Institut national de recherche en sciences et technologies du numériqueFR35 papers
- Laboratoire de Mathématiques d'OrsayFR34 papers
- Institut de Mathématiques de BordeauxFR31 papers
- Institut de Mathématiques de Jussieu-Paris Rive GaucheFR27 papers
- Laboratoire d'Analyse et d'Architecture des SystèmesFR27 papers
88 papers · 1 filter
Posterior contraction rates for constrained deep Gaussian processes in density estimation and classication
François Bachoc, Agnès Lagnoux
We provide posterior contraction rates for constrained deep Gaussian processes in non-parametric density estimation and classication. The constraints are in the form of bounds on t…
Disentanglement by Cyclic Reconstruction
David Bertoin, Emmanuel Rachelson
Deep neural networks have demonstrated their ability to automatically extract meaningful features from data. However, in supervised learning, information specific to the dataset us…
Families of singular Chern-Ricci flat metrics
Chung-Ming Pan
We prove uniform a priori estimates for degenerate complex Monge-Ampère equations on a family of hermitian varieties. This generalizes a theorem of Di Nezza-Guedj-Guenancia to herm…
Volumes of subset Minkowski sums and the Lyusternik region
Franck Barthe, Mokshay Madiman
We begin a systematic study of the region of possible values of the volumes of Minkowski subset sums of a collection of compact sets in , which we call the Lyuste…
Nonstochastic Bandits with Composite Anonymous Feedback
Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni +2
We investigate a nonstochastic bandit setting in which the loss of an action is not immediately charged to the player, but rather spread over the subsequent rounds in an adversaria…
Bounds in Wasserstein distance on the normal approximation of general M-estimators
François Bachoc, Max Fathi
We derive quantitative bounds on the rate of convergence in Wasserstein distance of general M-estimators, with an almost sharp (up to a logarithmic term) behavior in the numb…