[Sestri Levante, Italy] TraDE-OPT Final Conference Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems.
[Modena, Italy] Optimization Techniques for Inverse Problems 2024 Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems.
[Montreal, Canada] 2024 International Symposium on Mathematical Programming (ISMP 2024) Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems.
[Copenhagen, Denmark] European Conference on Operational Research (EURO 2024), Technical University Denmark Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems.
[Paris, France] Fondements Mathématiques de l'IA, Institut DataIA Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems.
[Montreal, Canada] CRM Seminar, McGill University Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems.
[Tokyo, Japan] International Congress on Industrial and Applied Mathematics (ICIAM 2023), Waseda University Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems.
[Paris, France] Center for Data Science at ENS Ulm Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems.
[Seattle, Washington] 2023 SIAM Conference on Optimization (OP23) A Stochastic Bregman Primal-Dual Splitting Algorithm for Composite Optimization.
[Caen, France] GREYC Lab Seminar, Université de Caen Nonsmooth Implicit Differentiation for Machine Learning and Optimization.
[Gif-sur-Yvette, France] Inauguration de la Fédération de Mathématiques de CentraleSupélec Nonsmooth Implicit Differentiation for Machine Learning and Optimization.
[Virtual] University of Tubingen MOP Research Seminar Nonsmooth Implicit Differentiation for Machine-Learning and Optimization.
[Arcachon, France] Curves and Surfaces Nonsmooth Implicit Differentiation for Machine Learning.
[Basel, Switzerland] University of Basel Department of Mathematics and Computer Science Seminar Nonsmooth Implicit Differentiation for Machine Learning and Optimization.
[Virtual] Centre pour la Vision Numérique Seminar Nonsmooth Implicit Differentiation for Machine Learning and Optimization.
[Graz, Austria] Institute of Mathematics and Scientific Computing, University of Graz Nonsmooth Implicit Differentiation for Machine Learning and Optimization.
[Limoges, France] Séminaire Modélisation, Optimisation, Dynamique, Université de Limoges Différentiation Implicite Non Lisse Pour l'Apprentissage Automatique et l'Optimisation.
[Toulouse, France] Signal Communications Group Seminar at ENSEEIHT A Stochastic Bregman Primal-Dual Splitting Algorithm for Composite Optimization.[slides]
[Virtual] Thirty-fifth Conference on Neural Information Processing Systems (Neurips) Nonsmooth Implicit Differentiation for Machine Learning.[slides][Youtube][SlidesLive][papertalk]
[Toulouse, France] Doctoral Workshop on Decision Mathematics and Statistics, Toulouse School of Econommics Nonsmooth Implicit Differentiation for Machine Learning.
[Virtual] Thesis Defense for the PhD in mathematics at Université de Caen First-Order Noneuclidean Splitting Methods for Large-Scale Optimization: Deterministic and Stochastic Algorithms.[slides]
[Virtual] University of Tubingen MOP Research Seminar A Stochastic Bregman Primal-Dual Splitting Algorithm for Composite Optimization.
[Caen, France] Journée du GREYC, Université de Caen Projection Free Methods for Nonsmooth Optimization in Machine Learning.
[Cambridge, UK] Cambridge Image Analysis Seminars Generalized Conditional Gradient with Augmented Lagrangian for Composite Minimization - Exact and Inexact Perspectives.
[Genova, Italy] Genoa Summer School on Applied Harmonic Analysis and Machine Learning Inexact and Stochastic Generalized Conditional Gradient with Augmented Lagrangian and Proximal Step.[slides]
[Lille, France] GRETSI Lille Generalized Conditional Gradient with Augmented Lagrangian for Composite Minimization.
[Toulouse, France] SPARS Toulouse (Winner of Best Student Paper award) Generalized Conditional Gradient with Augmented Lagrangian for Composite Optimization.[slides]
[Bordeaux, France] Institut de Mathématiques de Bordeaux, Séminaire IOP Generalized Conditional Gradient with Augmented Lagrangian for Composite Minimization.
[Rouen, France] Normastic Rouen Generalized Conditional Gradient with Augmented Lagrangian for Composite Minimization.
[San Diego, California] San Diego State University Student Research Symposium Empirical Wavelet Frames for Signal Processing.
[San Jose, California] MAA Golden Section Student Poster Session Comparison of Bayesian Credible Intervals to Frequentist Confidence Intervals.
[San Jose, California] Northern California Undergraduate Mathematics Conference Comparison of Bayesian Credible Intervals to Frequentist Confidence Intervals.
[Chico, California] Northern California Undergraduate Mathematics Conference An Application of Bayesian Inference.