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Posts by Collection
portfolio
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publications
An ODE-based Modeling of Inertial Forward-Backward Algorithms
Published in Signal Processing with Adaptive Sparse Structured Representations (SPARS), Lisbon, Portugal, 2017., 2017
The Differential Inclusion Modeling FISTA Algorithm and Optimality of Convergence Rate in the Case b ≤ 3
Published in SIAM Journal on Optimization, 28(1), 551–574, 2018., 2018
Inertial Gradient-Descent algorithms for convex minimization
Published in PhD thesis, Université de Bordeaux, 2019., 2019
Convergence rate of inertial Forward–Backward algorithm beyond Nesterov’s rule
Published in Mathematical Programming, 180(1–2), 137–156, 2020., 2020
Convergence rates of an inertial gradient descent algorithm under growth and flatness conditions
Published in Mathematical Programming, 187(1), 151–193, 2021., 2021
Convergence rates for the heavy-ball continuous dynamics for non-convex optimization, under Polyak–Łojasiewicz condition
Published in Journal of Global Optimization, 84(3), 563–589, 2022., 2022
Regularization properties of dual subgradient flow
Published in 2023 European Control Conference (ECC), pp. 1–8, 2023., 2023
Variance reduction techniques for stochastic proximal point algorithms
Published in Journal of Optimization Theory and Applications, 203(2), 1910–1939, 2024., 2024
Iterative regularization in classification via hinge loss diagonal descent
Published in Inverse Problems, 41(3), 035010, 2025., 2025
Heavy-ball dynamics with Hessian-driven damping for non-convex optimization under the Łojasiewicz condition
Published in arXiv preprint arXiv:2506.11705, 2025., 2025
Preconditioned primal-dual dynamics in convex optimization: non-ergodic convergence rates
Published in Nonlinear Analysis: Hybrid Systems, 60, 101674, 2026., 2026
Taming Stochastic Gradient Descent: Almost Sure Convergence and Saddle-Point Avoidance under (L₀,L₁)-Smoothness
Published in Proceedings of the 43rd International Conference on Machine Learning (ICML), 2026., 2026
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Winter school “Nonlinear Function Spaces in Mathematics and Physical Sciences”
Published:
School. December 2015.
Location: Lyon, France.
Workshop CAVALIERI on Optimal Transport and Optimization in Imaging
Published:
Workshop. October 2016.
Location: Paris, France.
Signal Processing with Adaptive Sparse Structured Representations (SPARS)
Published:
Conference. June 2017.
Location: Lisbon, Portugal.
Journées annuelles 2017 des GdR MOA et MIA
Published:
Conference. October 2017.
Location: Bordeaux, France.
Mathematics and Image Analysis (MIA)
Published:
Conference. January 2018.
Location: Berlin, Germany.
Ph.D. Students Lambda Seminar
Published:
Seminar. April 2018.
Location: Bordeaux, France.
Colloque Inter’Actions 18
Published:
Colloquium. May 2018.
Location: Lyon, France.
Journées annuelles 2018 des GdR MOA et MIA
Published:
Conference. October 2018.
Location: Pau, France.
CIRM pre-school: The mathematics of Imaging
Published:
School. January 2019.
Location: Marseille, France.
Workshop “Variational methods and optimization in imaging”: The mathematics of Imaging
Published:
Workshop. February 2019.
Location: Paris, France.
Séminaire Modélisation, Optimisation, Dynamique XLIM
Published:
Seminar. February 2020.
Location: Limoges, France.
International Conference on Optimization and Decision Science
Published:
Conference. September 2022.
Location: Firenze, Italy.
Journées annuelles 2022 du GdR MOA
Published:
Conference. October 2022.
Location: Nice, France.
Workshop in Optimization at Bernoulli institute
Published:
Workshop. June 2023.
Location: Groningen, Netherlands.
European Control Conference (ECC) 2023
Published:
Conference. June 2023.
Location: Bucarest, Romania.
Winter seminar in Archimedes AI
Published:
Seminar. December 2023.
Location: Athens, Greece.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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Mathematical bases for sciences
Lectures and exercise sessions, 1st year Bachelor students, 2017
Academic year: 2017–2018
Format: Lectures and exercise sessions
Audience: 1st year Bachelor students
Introduction to numerical analysis
Theoretical and practical exercises (Scilab), 2nd year Bachelor students, 2018
Academic year: 2018–2019
Format: Theoretical and practical exercises (Scilab) (Scilab)
Audience: 2nd year Bachelor students
Mathematics for Machine Learning
Practical session (Matlab), 1st year Master students, 2021
Academic year: 2021–2022
Format: Practical session (Matlab)
Audience: 1st year Master students
Optimization and operational research
Practical session (Python), 1st year Master students, 2022
Academic year: 2022–2023
Format: Practical session (Python)
Audience: 1st year Master students