- 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
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/).
Details to come soon
Participant Affiliation Maicon Marques Alves Federal University of Santa Catarina Hedy Attouch IMAG, Université de Montpellier, CNRS Jacob Bien University of Southern California Radu Boț Universität Wien Luis Briceño-Arias Universidad Técnica Federico Santa Maria Eric Chi North Carolina State University Jonathan Eckstein Rutgers University Aurelie Lozano Walaa Moursi Teemu Pennanen King's College London Vianney Perchet Ecole Normale Supérieure Paris-Saclay & Criteo AI Lab Marcelo Pereyra Heriot-Watt University Jean-Christophe Pesquet Université Paris-Saclay Terry Rockafellar University of Washington Saverio Salzo Ivan Selesnik New York University Noah Simon University of Washington Sylvain Sorin Sorbonne Université Sebastian Stich EPFL, Switzerland Weijie Su University of Pennsylvania Ryan Tibshirani Carnegie Mellon University Rachel Ward Isao Yamada