Operator Splitting Methods in Data Analysis

  • Organized by
  • Patrick L. Combettes, Ph.D.Distinguished Professor, Mathematics, North Carolina State University
  • Christian L. Müller, Ph.D.Project Leader in Computational Statistics, Numerical Analysis, CCM, Flatiron Institute
Date & Time


Location


Flatiron Institute          162 5th Avenue,          3rd floor classroom        New York, NY 10010     View Map

The 2nd workshop on Operator Splitting Methods in Data Analysis brings together experts from nonlinear analysis, optimization, data analysis, and statistics to advance the field of operator splitting methods and its application to statistics and data analysis.

Specific topics include:
(i) general forms of equilibria that are captured by monotone inclusions,
(ii) nonconvex/nonmonotone splitting methods
(iii) scaling up of splitting strategies as the numbers of observations and features grow
(iv) robustness of splitting methods under perturbations and modeling errors
(v) New and nonstandard variational formulations for data analysis problems
(vi) Applications of splitting methods in data analysis and statistics

A unique aspect will be again the strong focus on presentations that illuminate technical difficulties and highlight open problems.

Information about the 2018 edition of this workshop, held at SAMSI, can be found here (https://www.samsi.info/programs-and-activities/research-workshops/operator-splitting-methods-data-analysis/).

  • AGENDAplus--large

    Details to come soon

  • PARTICIPANTSplus--large
    ParticipantAffiliation
    Maicon Marques AlvesFederal University of Santa Catarina
    Hedy AttouchIMAG, Université de Montpellier, CNRS
    Jacob BienUniversity of Southern California
    Radu BoțUniversität Wien
    Luis Briceño-AriasUniversidad Técnica Federico Santa Maria
    Eric ChiNorth Carolina State University
    Jonathan EcksteinRutgers University
    Aurelie Lozano
    Walaa Moursi
    Teemu PennanenKing's College London
    Vianney PerchetEcole Normale Supérieure Paris-Saclay & Criteo AI Lab
    Marcelo PereyraHeriot-Watt University
    Jean-Christophe PesquetUniversité Paris-Saclay
    Terry RockafellarUniversity of Washington
    Saverio Salzo
    Ivan SelesnikNew York University
    Noah SimonUniversity of Washington
    Sylvain SorinSorbonne Université
    Sebastian StichEPFL, Switzerland
    Weijie SuUniversity of Pennsylvania
    Ryan TibshiraniCarnegie Mellon University
    Rachel Ward
    Isao Yamada
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