- Institut Universitaire de FranceFR2 papers
- Technology Solutions Experts (United States)US2 papers
- Toulouse School of EconomicsFR2 papers
- Centre de Mathématiques Appliquées de l'École polytechniqueFR1 paper
- Collegio Carlo AlbertoIT1 paper
- Discovery Air (Canada)CA1 paper
- École PolytechniqueFR1 paper
- International Council on Mining and MetalsGB1 paper
- Laboratoire Jean KuntzmannFR1 paper
- Mohamed bin Zayed University of Artificial IntelligenceAE1 paper
- Nagasaki Rousai HospitalJP1 paper
- Université Grenoble AlpesFR1 paper
4 papers
Fast Spawn\&Prune (FS\&P): Global convergence of stochastic conic particle gradient descent via birth/death process
Yohann De Castro, Sébastien Gadat, Clément Marteau
We investigate the global optimization of the objective function arising in continuous sparse regression, specifically the Beurling LASSO (BLASSO), over the space of measures. Whil…
On the catastrophe time of fluids under the action of a gravitational field
D. Astesiano, G. Ortenzi, M. L. Ruggiero
Motivated by the central role of the Zel'dovich approximation in the description of cosmic structure formation through gravitational collapse, we investigate Burgers-type dynamics…
Privately Learning Smooth Distributions on the Hypercube by Projections
Clément Lalanne, Sébastien Gadat
Fueled by the ever-increasing need for statistics that guarantee the privacy of their training sets, this article studies the centrally-private estimation of Sobolev-smooth densiti…
Inexact subgradient methods for semialgebraic functions
Jérôme Bolte, Tam Le, Éric Moulines +1
Motivated by the extensive application of approximate gradients in machine learning and optimization, we investigate inexact subgradient methods subject to persistent additive erro…