Évènements / Séminaires

Évènements à venir

Aggregative optimization problems: relaxation and numerical resolution

Thursday 27th October at 14:00, in Salle du Conseil (4th floor), Bât. Breguet. Salle du Conseil (4th floor), Bât. Breguet, CentraleSupélec3 rue Joliot Curie91190 Gif-sur-Yvette, France Speaker: Laurent Pfeiffer, INRIA researcher at L2S, Paris-Saclay University Title: Aggregative optimization problems: relaxation and numerical resolution Abstract: We will consider a class of non-convex optimization problems involving a large […]

27/10/2022

Deep learning solutions to estimation and detection

Speaker — Ami Wiesel (Hebrew University of Jerusalem) Abstract — In this talk, we will discuss the use of deep learning in statistical signal processing. We will address settings in which the classical solutions are intractable and will propose modern approaches based on neural networks. We will begin with parameter estimation and focus on learning […]

17/10/2022

UQSay #50

The fiftieth UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, October 13, 2022. 2–3 PM — Gilles Stoltz (LMO, Université Paris-Saclay – CNRS) — [slides] Multi-armed bandit problems: a statistical view, focused on lower bounds Multi-armed bandit problems correspond to facing K unknown probability distributions, having to sequentially […]

13/10/2022

Séminaires d’Ibrahim Ramadan et Eugenio Pozzoli

13h40–14h00 — Salle du conseil (L2S) Projection filter for open quantum systems in presence of imperfect measurement Ibrahim Ramadan (L2S) Abstract. Open quantum systems are systems in interaction with an environment. The evolution of an open quantum system undergoing measurement is described by stochastic master equations known as filter equations. The filter equations could be […]

13/10/2022

UQSay #49

The forty-ninth UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, September 29, 2022. 2–3 PM — Jonas Latz (Heriot-Watt University, Edinburgh) — [slides] Stochastic gradient descent in continuous time: discrete and continuous data Optimisation problems with discrete and continuous data appear in statistical estimation, machine learning, functional data […]

29/09/2022