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Details about Sébastien GADAT

E-mail:
Homepage:http://perso.math.univ-toulouse.fr/gadat/
Workplace:Groupe de Recherche en Économie Mathématique et Quantitative (GREMAQ) (Research Group in Mathematical and Quantitative Economics), Toulouse School of Economics (TSE), (more information at EDIRC)

Access statistics for papers by Sébastien GADAT.

Last updated 2021-12-08. Update your information in the RePEc Author Service.

Short-id: pga846


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Working Papers

2022

  1. On the cost of Bayesian posterior mean strategy for log-concave models
    TSE Working Papers, Toulouse School of Economics (TSE) Downloads View citations (2)
  2. Optimal non-asymptotic analysis of the Ruppert-Polyak averaging stochastic algorithm
    TSE Working Papers, Toulouse School of Economics (TSE) Downloads

2021

  1. Regional Climate Model Emulator Based on Deep Learning: Concept and First Evaluation of a Novel Hybrid Downscaling Approach
    TSE Working Papers, Toulouse School of Economics (TSE) Downloads
  2. Stochastic asymmetric repartition of lytic machinery in dividing CD8+ T cells generates heterogeneous killing behavior
    Post-Print, HAL Downloads

2020

  1. Non asymptotic controls on a stochastic algorithm for superquantile approximation
    TSE Working Papers, Toulouse School of Economics (TSE) Downloads View citations (1)
  2. Parameter recovery in two-component contamination mixtures: the L2 strategy
    Post-Print, HAL Downloads
    Also in TSE Working Papers, Toulouse School of Economics (TSE) (2018) Downloads View citations (1)
  3. Stochastic approximation algorithms for superquantiles estimation
    TSE Working Papers, Toulouse School of Economics (TSE) Downloads View citations (5)
  4. SuperMix: Sparse Regularization for Mixture
    TSE Working Papers, Toulouse School of Economics (TSE) Downloads

2018

  1. Optimal functional supervised classification with separation condition
    TSE Working Papers, Toulouse School of Economics (TSE) Downloads

2016

  1. A stochastic model for cytotoxic T. Lymphocyte interaction with tumor nodules
    TSE Working Papers, Toulouse School of Economics (TSE) Downloads
  2. How to calculate the barycenter of a weighted graph
    TSE Working Papers, Toulouse School of Economics (TSE) Downloads
    See also Journal Article How to Calculate the Barycenter of a Weighted Graph, Mathematics of Operations Research, INFORMS (2018) Downloads View citations (2) (2018)
  3. Regret bound for Narendra-Shapiro bandit algorithms
    TSE Working Papers, Toulouse School of Economics (TSE) Downloads
  4. Stochastic Heavy Ball
    TSE Working Papers, Toulouse School of Economics (TSE) Downloads View citations (3)

2015

  1. On some recent advances in high dimensional Bayesian Statistics
    TSE Working Papers, Toulouse School of Economics (TSE) Downloads

2014

  1. A biased competition model of dynamical cytotoxic T lymphocytes/tumor nodule interaction
    TSE Working Papers, Toulouse School of Economics (TSE)
  2. Classification with the nearest neighbor rule in general finite dimensional spaces
    TSE Working Papers, Toulouse School of Economics (TSE) Downloads View citations (1)
  3. Individual human cytotoxic T Lymphocytes exhibit intraclonal heterogeneity in cumulative killing
    TSE Working Papers, Toulouse School of Economics (TSE) Downloads

2013

  1. A stochastic model for speculative bubbles
    Papers, arXiv.org Downloads View citations (1)

Journal Articles

2018

  1. How to Calculate the Barycenter of a Weighted Graph
    Mathematics of Operations Research, 2018, 43, (4), 1085-1118 Downloads View citations (2)
    See also Working Paper How to calculate the barycenter of a weighted graph, TSE Working Papers (2016) Downloads (2016)

2015

  1. A Biased Competition Theory of Cytotoxic T Lymphocyte Interaction with Tumor Nodules
    PLOS ONE, 2015, 10, (3), 1-23 Downloads

2009

  1. Multiclass classification and gene selection with a stochastic algorithm
    Computational Statistics & Data Analysis, 2009, 53, (10), 3601-3615 Downloads

2007

  1. Selection of Biologically Relevant Genes with a Wrapper Stochastic Algorithm
    Statistical Applications in Genetics and Molecular Biology, 2007, 6, (1), 23 Downloads View citations (2)
 
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