Institut de Mathématiques de Toulouse
- Séminaire Données et Aléatoire Théorie et Applications, Laboratoire Jean Kunzmann, 18 janvier 2024, Grenoble, France.
- Séminaire Math-Bio-Santé, Institut de Mathématiques de Toulouse, 7 juin 2024, Toulouse, France.
- French-German-Spanish conference on Optimization, 18-21 June 2024, Gijon, Spain. Plenary speaker.
- Monte Carlo and Quasi-Monte Carlo methods in Scientific Computing, 18-23 August 2024, Waterloo, Canada. Plenary speaker.
- Colloque de l Institute of Global Health , 17 October 2023, Geneva, Switzerland. Slides.pdf
- Séminaire OptAzur, Optimization in French Riviera, 16 Octobre 2023, Nice, France. Slides.pdf
- Colloque GRETSI, 28 Aug-01 Sept 2023, Grenoble, France. Plenary speaker. Slides.pdf et video
-European Meeting of Statisticians, 3-7 July 2023, Warsaw, Poland. Talk in an invited session. Slides.pdf
- Bus'Maths, rencontres mathématiques avec des collégiens de Lavelanet, 16 Juin 2023, Toulouse, France. Présentation
- Processus markoviens, semi-markoviens et leurs applications 5-7 Juin 2023, Montpellier, France. Plenary speaker. Slides.pdf
- Séminaire Parisien d'Optimisation, 3 avril 2023, Paris, France. Slides.pdf
- Séminaire dans le cadre du Mois de l'optimisation, Toulouse, Novembre 2022, France. Slides.pdf, Video
- Accepted to CAMSAP, September 2023 Pandemic Intensity Estimation From Stochastic Approximation-Based Algorithms. With P. Abry, J. Chevallier and B. Pascal
- Accepted to IEEE Trans Signal Processing, July 2023 Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning. With A. Dieuleveut, E. Moulines and H-T. Wai.
- The project OptiMoCSI is funded by the french national research agency !
- Accepted to EUSIPCO 2023, May 2023 Credibility intervals for the reproduction number of the Covid-19 pandemic using Proximal Lanvevin samplers. With P. Abry, B. Pascal and N. Pustelnik.
- Accepted in Statistics and Computing, in March 2023 Stochastic Variable Metric Proximal Gradient with variance reduction for non-convex composite optimization. With E. Moulines
- Accepted, in IEEE Trans Signal Processing, in Feb 2023 Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers. with P. Abry, B. Pascal and N. Pustelnik
- Github: Proximal Langevin algorithms PGdual, PGdec and GibbsPGdual. Matlab codes, data sets and examples.
- Daily Credibility Intervals for the Covid-19 reproduction number for France, March 2023 .