Publications

2022

  • “A CNC approach for Directional Total Variation” by Gabriele Scrivanti, Émilie Chouzenoux, Jean-Christophe Pesquet, HAL.
  • “Finding global solutions for a class of possibly nonconvex QCQP problems through the S-lemma” by Ewa M. Bednarczuk, Giovanni Bruccola, arxiv.
  • “Duality for Composite Optimization Problem within the Framework of Abstract Convexity” by Ewa M. Bednarczuk, The Hung Tran, submitted.
  • “A variational approach for joint image recovery-segmentation based on spatially varying generalised Gaussian models” by Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Gabriele Scrivanti, HAL.
  • “Fast iterative regularization by reusing data” by Cristian Vega, Cesare Molinari, Lorenzo Rosasco, and Silvia Villa, arxiv.
  • “Random coordinate descent methods for nonseparable composite optimization” by Flavia Chorobura, Ion Necoara, arxiv.
  • “Efficiency of higher-order algorithms for minimizing general composite optimization” by Yassine Nabou, Ion Necoara, arxiv.
  • “Faster Randomized Block Sparse Kaczmarz by Averaging” by Lionel Tondji, Dirk A Lorenz, arxiv.
  • “Extended Randomized Kaczmarz Method for Sparse Least Squares and Impulsive Noise Problems” by Frank Schopfer, Dirk A. Lorenz, Lionel Tondji, Maximilian Winkler, arxiv.
  • “Convergence of an Asynchronous Block-Coordinate Forward-Backward Algorithm for Convex Composite Optimization” by Cheik Traoré, Saverio Salzo, Silvia Villa, arxiv.
  • 2021

  • “Random Activations in Primal-Dual Splittings for Monotone Inclusions with a Priori Information” by Luis Briceño-Arias, Julio Deride, Cristian Vega, Journal of Optimization Theory and Applications, arxiv version.
  • “Degenerate Preconditioned proximal point algorithms” by Kristian Bredies, Enis Chenchene, Dirk Lorenz, Emanuale Naldi, arxiv.
  • “GPU-based Implementations of MM Algorithms. Application to Spectroscopy Signal Restoration” by Mouna Gharbi, Emilie Chouzenoux, Jean-Christophe Pesquet, Laurent Duval , HAL.
  • “Efficiency of stochastic coordinate proximal gradient methods on nonseparable composite optimization” by Ion Necoara and Flavia Chorobura, arxiv.
  • “Weak topology and Opial property in Wasserstein spaces, with applications to Gradient Flows and Proximal Point Algorithms of geodesically convex functionals” by Emanuele Naldi and Giuseppe Savaré, arxiv.
  • “Sequential convergence of AdaGrad algorithm for smooth convex optimization” by Cheik Traoré, Edouard Pauwels, Operations Research Letters, arxiv version.
  • “Nothing in life is to be feared, it is only to be understood. Now is the time to understand more, so that we may fear less. -Marie SKŁODOWSKA-CURIE”