91 citations · 395 across the 40 of their papers we have counts for
6 papers · 1 filter
Generalized conditional gradient: analysis of convergence and applications
Alain Rakotomamonjy, Rémi Flamary, Nicolas Courty
The objectives of this technical report is to provide additional results on the generalized conditional gradient methods introduced by Bredies et al. [BLM05]. Indeed , when the obj…
Operator-valued Kernels for Learning from Functional Response Data
Hachem Kadri, Emmanuel Duflos, Philippe Preux +3
In this paper we consider the problems of supervised classification and regression in the case where attributes and labels are functions: a data is represented by a set of function…
Histogram of gradients of Time-Frequency Representations for Audio scene detection
Alain Rakotomamonjy, Gilles Gasso
This paper addresses the problem of audio scenes classification and contributes to the state of the art by proposing a novel feature. We build this feature by considering histogram…
Greedy methods, randomization approaches and multi-arm bandit algorithms for efficient sparsity-constrained optimization
A Rakotomamonjy, S Koço, Liva Ralaivola
Several sparsity-constrained algorithms such as Orthogonal Matching Pursuit or the Frank-Wolfe algorithm with sparsity constraints work by iteratively selecting a novel atom to add…
DC Proximal Newton for Non-Convex Optimization Problems
Alain Rakotomamonjy, Remi Flamary, Gilles Gasso
We introduce a novel algorithm for solving learning problems where both the loss function and the regularizer are non-convex but belong to the class of difference of convex (DC) fu…
Optimal Transport for Domain Adaptation
Nicolas Courty, Rémi Flamary, Devis Tuia +1
Domain adaptation from one data space (or domain) to another is one of the most challenging tasks of modern data analytics. If the adaptation is done correctly, models built on a s…