Talks

A more friendly version is available here: Slide gallery

• Lund University (15/04/2024) "Citizen science for plant identification: insights from Pl@ntnet" slides

• TSE Seminar (30/11/2023) "Supervised learning by crowdsourcing" slides-part 1, slides-part 2

• IMT Seminar (29/11/2022) "Improve learning combining crowdsourced labels by weighting Areas Under the Margin" slides

• Learning and Optimization in Luminy (5/10/2022) "Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification" slides

• Workshop New Trends in Statistical Learning II at Porquerolles (16/06/2022) "Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification" slides

• Séminaire de l'équipe de Statistique de l'IRMAR (20/05/2022) "Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification" slides

• LSE Data Science Seminar (London, UK) (07/02/2022), "Hyperparameter selection for high dimensional sparse learning" slides

• Colloque de lancement MIPS / 10èmes Journées Scientifiques du LabEx NUMEV (Montpellier, France) (08/11/2021), "Implicit differentiation for fast hyperparameter selection in non-smooth convex learning" slides

• Machine Learning seminar at Telecom Paris (Paris, France) (08/04/2021), "Implicit differentiation for fast hyperparameter selection in non-smooth convex learning" slides

• Journée Scientifique IA et Biodiversité (CEMEB, Montpellier, France) (30/03/2021), "Structured linear models: contributions from statistics and optimization" slides

• GdR MIA Thematic day on Non-Convex Sparse Optimization (Toulouse, France) (09/10/2020), "Screening Rules for Lasso with Non-Convex Sparse Regularizers" slides

• Mathematical Methods of Modern Statistics 2 (Luminy, France) (15/06/2020), "The smoothed multivariate square-root Lasso: an optimization lens on concomitant estimation" slides, video

• Fast-big Workshop (Paris, Inria) (10/01/2020), "Correlated and repeated measurements with the smoothed Multivariate square-root Lasso" slides

• Séminaire de Statistique (Toulouse, IMT) (26/11/2019), "Correlated and repeated measurements with the smoothed Multivariate square-root Lasso" slides

• Journée calcul et automatisation avancée (Univ. Montpellier) (14/11/2019), "Fast solver for Sparse Generalized Linear Models" slides

• Guanajuato, CIMAT (Mexico) (04/11/2019), "Correlated and repeated measurements with the smoothed Multivariate square-root Lasso" slides

• I Taller Interinstitucional de Ciencia de Datos e Inteligencia Artificial, UDLAP (Puebla) (28/10/2019), "Coordinate descent (and beyond) for sparse learning optimization" slides

• Seminar, UNAM (Mexico) (28/10/2019), "Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise" slides

• Colloque: "Montpellier : Berceau de la data science" (19/05/2019), "Safe Grid Search with Optimal Complexity" slides

• Inria Lille (24/05/2019), "Safe screening rules to speed-up sparse regression solvers" slides

• Université de Montpellier: formation Meso@LR (21/05/2019), "Optimization: (Block) coordinate descent for neuro-imaging" slides

• Prediction and Analysis of Structured AnD Heterogeneous DAta workshop "Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise" (15/02/2019)

• Université de Montpellier: Séminaires EPS (14/01/2019), "Celer: a Fast Solver for the Lasso with Dual Extrapolation" slides

• Université Paris-Sud (04/12/2018), "Generalized Concomitant Multi-Task Lasso for sparse multimodal regression" slides

• Horizon Maths 2018 : Intelligence Artificielle (23/11/2018), Celer: a fast Lasso solver with dual extrapolation" slides

• University of British Columbia (Vancouver) (07/17/2018), "Celer: a fast Lasso solver with dual extrapolation" slides

• USC Probability and Statistics Seminars (03/23/2018) "Generalized Concomitant Multi-Task Lasso for sparse multimodal regression" slides

• ML+TOPS Seminar - University of Washington (02/27/2018) "Generalized Concomitant Multi-Task Lasso for sparse multimodal regression" slides

• Séminaire de probabilités de l'ENS Lyon (29/11/2017) "Generalized Concomitant Multi-Task Lasso for sparse multimodal regression" slides

• Séminaire d'informatique de l'ENS Lyon (29/11/2017) "(Gap) Safe screening rules to speed-up sparse regression solvers" slides

• Habilitation à dirigée des recherches, HDR, (29/06/2017) slides

• France / Japan Machine Learning Workshop Paris, France, September, 2017 "From safe screening rules to working sets for faster Lasso-type solvers" (slides)

• University of Washington, Statistics Seminar (19/05/2017) "Fast solvers for sparse multi-task problems", slides

• Séminaire de statistiques du MAP5 (21/04/2017), "Fast solvers for sparse multi-task problems", slides

• Séminaire de calcul scientifique du CERMICS, (6/01/2017), "GAP safe screening rule for sparsity enforcing penalties", slides

• ICCOPT 2016 Tokyo, Japan, August, 2016, "GAP safe screening rule for sparsity enforcing penalties"

• Machine Learning Seminar du Nagoya Institute of Technology (4/08/2016) "Efficient Smoothed Concomitant Lasso estimation for high dimensional regression"

• 66th Workshop "Advances in Convex Analysis and Optimization" Erice, Italy, July, 2016 "GAP safe screening rule for sparsity enforcing penalties"

• SIAM Conference on Imaging Science 2016 Albuquerque, New Mexico, May, 2016 "GAP safe screening rule for sparsity enforcing penalties"

• Séminaire Probabilités et Statistiques (IMB) (14/04/2016), "GAP safe screening rule for sparsity enforcing penalties" slides

• Séminaire de Statistique de l'IRMAR, (25/03/2016), "GAP safe screening rule for sparsity enforcing penalties", slides

• Séminaire de Machine Learning (CMLA), (29/02/2016), "GAP safe screening rule for sparsity enforcing penalties" slides

• Journée Statistique/Apprentissage à Paris-Saclay Bures-sur-Yvette, IHÉS, January, 2016 "GAP safe screening rule for sparsity enforcing penalties"

• Séminaire de Statistique du Crest (11/05/2015) "Mind the duality gap: safer rules for the Lasso"

• PRISM Seminar (03/06/2015), "Mind the duality gap: safer rules for the Lasso"

• Taller-Escuela de Procesamiento de Imagenes (PI'15) y de Reconocimiento Estadistico de Patrones (SPR'15) Guanajuato, November, 2015, "Convex optimization, sparsity and regression in high dimension", slides, video "Mind the duality gap: safer screening rules for the Lasso and its variants", slides, video

• NIPS 2014 Montréal, December, 2014 "Probabilistic Low-rank Matrix Completion on Finite Alphabet"

• Bioimage Informatics conference Louvain, 8 Octobre - 10 Octobre 2014 "Adaptive Validation, a possible alternative to Cross-Validation" talks/Bioimage_salmon.pdf [slides]

• Journées MAS 2014 Toulouse, August, 2014 "Adaptive one-bit matrix completion"

• 46èmes Journées de Statistique Rennes, June 2014, "Adaptive one-bit matrix completion"

• Apprentissage de représentations et traitement du signal (GdR ISIS) Paris, february, 2014, "Poisson noise reduction with non-local PCA" slides

• UIUC CSL Communications seminar, Urbana (03/09/2013), "Learning Heteroscedastic Models by Convex Programming under Group Sparsity" slides

• International Conference on Machine Learning (ICML 2013) Atlanta, June, 2013 "Learning Heteroscedastic Models by Convex Programming under Group Sparsity"

• École d'été de Peyresq 2013 Peyresq, June, 2013, "Learning Heteroscedastic Models by Convex Programming under Group Sparsity", slides

• RT9; Informatique Fondamentale et Mathématiques Appliquées, (01/07/2013), "Learning Heteroscedastic Models by Convex Programming under Group Sparsity", slides

• Duke ECE seminar, Durham (13/06/2013), "Heteroscedastic regression in high dimension with group sparsity", slides

• SMAI 2013 Seignosse, May, 2013, "Learning Heteroscedastic Models by Convex Programming under Group Sparsity" slides

• Séminaire parisien de Statistiques (IHP), Paris (11/02/2013), "Regression hétéroscedastique en grande dimension" slides

• NGA Academic Research Symposium & Workshops Washington DC, August, 2012, "Poisson noise reduction with non-local PCA" poster

• Solar Information Processing (SIPWork VI) Bozeman, MT, August, 2012, "Poisson noise reduction with non-local PCA" slides

• Seminar for Statistics, ETH, Zurich (06/29/2012), "Poisson noise reduction with non-local PCA"

• Statistical Signal Processing Workshop (SSP 2012) Ann Harbour, August, 2012, "A two-stage denoising filter: the preprocessed Yaroslavsky filter" poster

• SIAM Conference on Imaging Science 2012 Philadelphia, May, 2012, "Poisson noise reduction with non-local PCA", slides

• International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012) Kyoto, March, 2012, "Poisson noise reduction with non-local PCA" poster

• Rencontres de Statistique Mathématique, Luminy, December, 2012, "Oracle inequalities and minimax rates for non-local means and related adaptive kernel-based methods"

• Conference on Learning Theory (2011) Budapest, July, 2011, "Optimal aggregation of affine estimators" slides

• Stochastic seminar, Georgia Tech, Atlanta (09/01/2011) "Optimal Aggregation for Affine Estimators" slides

• Séminaire de Probabilités et Statistiques, Laboratoire Paul Painlevé, Lille (16/02/2011), "Agrégation d'estimateurs affines pour la régression" slides

• Groupe de travail Modélisation numérique et Images, MAP5, (28/01/2011) "NL-Means, reprojections et patchs adaptatifs" slides

• Séminaire de Probabilités et Statistiques d'Angers, (17/01/2011), "Agrégation d'estimateurs affines pour la régression" slides

• Séminaire de Statistique de Toulouse (11/01/2011), "Agrégation d'estimateurs affines pour la régression" slides

• Séminaire de Statistique du Crest (08/11/2010), "Inégalités d'oracle exactes pour des estimateurs affines"

• International Conference on Image Processing (ICIP 2010) Hong Kong, 26 September, 2009 , "From Patches to Pixels in Non-Local methods: Weighted-Average Reprojection", poster

• Journées MAS 2010 Bordeaux, August 2010, "Agrégation d'estimateurs pour la régression hétéroscédastique", slides

• Statistical Models for Images Luminy, May, 2010, "Reprojections for Non-Local Means" slides

• Neuvième Colloque "Jeunes Probabilistes et Statisticiens" Le Mont-Dore, May, 2010, "Méthodes à Patchs pour le débruitage d'images numériques" slides

• GREYC-Séminaire Image, Université de Caen, (10/12/2009), "NL-Means et procédures d'agrégation" (talks/greyc09.pdf)[slides]

• International Conference on Image Processing (ICIP 2009) Le Caire, November, 2009 "NL-Means and Aggregation Procedures", slides

• 3èmes Rencontres de Jeunes Statisticiens Aussois, August, 2009 "Agrégation d'estimateurs pour le débruitage d'images" slides

• 41èmes Journées de Statistique Bordeaux, May, 2009, "Agrégation d'estimateurs pour le débruitage d'images"

• Groupe de travail des thésards du LPMA, (26/02/2009), "Agrégation d'estimateur pour le débruitage d'image"

• Groupe de travail des thésards et jeunes docteurs, Université Paris 5 (17/02/2009), "Agrégation d'estimateurs pour le débruitage d'image"

• Groupe de travail des thésards du LPMA (17/04/2008), "Survol sur l'agrégation d'estimateurs en lien avec les NL-Means"