2025 ICASSP – satellite event, Suzhou, China; May 2025 (tutorial via zoom). Tutorial / A deep dive into recent advances in Stochastic Approximation. [Slides.pdf]
2025 International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India; April 2025. Oral / Sampling Nonsmooth Log-Concave Densities: A Comparative Study of Primal-Dual Based Proposal Distributions [slides.pdf] or [slides.pdf]
2025 International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India; April 2025. Tutorial / A deep dive into recent advances in Stochastic Approximation. [slides.pdf]
2023 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Herradura, Costa Rica; December 2023. Pandemic intensity estimation from Stochastic Approximation-based Algorithms. [poster.pdf, photo] or [poster.pdf, photo]
IEEE Statistical Signal Processing Workshop (SSP); virtual; July 2021. The Perturbed Prox-Preconditioned SPIDER algorithm for EM-based large scale learning. [slides.pdf, video] or [slides.pdf, video]
International Conference on Acoustics, Speech and Signal Processing (ICASSP); virtual; June 2021. GEOM-SPIDER-EM: faster variance reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization. [poster.pdf, slides.pdf, video] or [poster.pdf, slides.pdf, video]
Neural Information Processing Systems (NeuIPS), conference; virtual; December 2020. A Stochastic Path-Integrated Differential EstimatoR EM algorithm [poster.pdf] or [poster.pdf]
IEEE Statistical Signal Processing Workshop (SSP); Freiburg, Germany; June 2018. Stochastic FISTA algorithms: so fast ? [paper, poster.pdf] or [paper, poster.pdf]
Sixth IMS-ISBA joint meeting BayesComp at MCMski V; Lenzerheide, Switzerland; January 2015. Perturbed Proximal-Gradient algorithms [poster.pdf, slides.pdf] or [poster.pdf, slides.pdf]
International Conference on Scientific Computation and Differential Equations; Valladolid, Spain; September 2013.. Convergence of the Wang-Landau algorithm [slides.pdf] or [slides.pdf]
Latent Variable Analysis – Independent Component Analysis (LVA-ICA); Tel-Aviv, Israël; March 2012. New Online-EM algorithms for general Hidden Markov models. Application to the SLAM problem. [spotlight.pdf, poster.pdf, photo1, photo2] or [spotlight.pdf, poster.pdf, photo1, photo2]
IEEE Statistical Signal Processing workshop (SSP); Nice, France; June 2011. Online Expectation-Maximization algorithm to solve the SLAM problem [poster.pdf] or [poster.pdf]
Workshop « Stochastic Approximation: methodology, theory and applications in statistics »; Bristol, United Kingdom; September 2010. Stochastic Approximation for Adaptive Markov chain Monte Carlo algorithm [slides.pdf] or [slides.pdf]
2009 INFORMS Applied Probability Sociery conference; Ithaca, USA; July 2009. On adaptive stratification [slides.pdf] or [slides.pdf]
INFORMS Applied Probability; Eihdhoven, Netherlands; July 2007. Fluid limit for Hybrid MCMC samplers [slides.pdf] or [slides.pdf]
COMPSTAT’04; Prague, Czeck Republic; August 2004. Ridge Patial Least squares for generalized linear models with binary response. [slides.ps] or [slides.ps, paper]
10th-INFORMS Applied Probability conference; Ulm, Germany; July 1999. On the convergence of the MCEM algorithm and other iterative Markov random maps.