IS1 - Robustness
Organizer: Graciela Boente , Universidad de Buenos Aires
Ana Maria Bianco, Universidad de Buenos Aires / CONICET Addressing robust estimation in conditional ROC curves
Alejandra Mercedes Martinez, Universidad Nacional de Lujan / CONICET Simultaneous robust estimation and variable selection for partially linear additive models
IS2 - Network estimation problems
Organizer: Oscar Madrid Padilla , University of California
Oscar Hernan Madrid Padilla, University of California Learning Gaussian DAGs from Network Data
Jesús Arroyo, Texas A&M University Joint spectral clustering in multilayer networks
Joshua Cape University, University of Wisconsin–Madison Robust spectral clustering with rank statistics
Sharmodeep Bhattacharyya, Oregon State University Dependent Structures in Network Data
IS3 - Random geometry
Organizer: Avelio Sepúlveda , Universidad de Chile
Pablo A Ferrari, Universidad de Buenos Aires Poisson line processes and the Lévy Chentsov field
Manuel Cabezas, Universidad Católica de Chile Historical lattice trees
Saraí Hernández-Torres, Instituto de Matemáticas, UNAM On the chemical distance of random interlacements
IS4 - Stochastic models in biology
Organizer: Noemi Kurt , Goethe Universität
Chair: Simon Harris, University of Auckland
Fernando Cordero, Bielefeld University Λ-Wright–Fisher processes with selection and opposing environmental effects
Arno Siri-Jégousse, UNAM The evolution and the genealogy of a self-similar population
Renato S. dos Santos, UFMG Interacting Poissonian trajectories and clonal interference
Cornelia Pokalyuk, Goethe Universität Frankfurt Invasion of cooperative parasites in structured host populations
IS5 - Stochastic processes
Organizer: Pablo Groisman , Universidad de Buenos Aires
Santiago Saglietti, Pontificia Universidad Católica de Chile Tightness of the Cover Time of Wired Planar Domains
Daniel Kious Random walk on the simple symmetric exclusion process
Leonardo T. Rolla, USP Oriented percolation with modified boundaries
Renato Jacob Gava, Universidade Federal de São Carlos Central limit theorem and almost sure clt for dependent Bernoulli random variables
IS6 - Statistical theory for neural networks
Organizer: Johannes Schmidt-Hieber, University of Twente
Johannes Schmidt-Hieber, University of Twente A survey of statistical theory for deep learning
Sophie Langer, University of Twente Dropout in the Linear Model
Masaaki Imaizumi, The University of Tokyo On Generalization Bounds for Deep Networks based on Loss Surface Implicit Regularization
IS7 - Strongly correlated particle systems
Organizer: Alexandre Stauffer, University of Bath
Maximilian Nitzschner, NYU Courant Smoothness of the diffusion coefficients for particle systems in continuous space
Guillaume Conchon--Kerjan, King's College London The monotonic speed of the random walk on the simple exclusion process
Marcelo Hilário, UFMG Random walks driven by interacting particle systems in one dimension
Alexandre Stauffer, University of Bath Mixing time of random walk on dynamical random cluster
IS8 - Random graphs and trees
Organizer: Louigi Addario-Berry , McGill University
Mariana Olvera-Cravioto, University of North Carolina, Chapel Hill Opinion dynamics on directed complex networks
Avelio Sepúlveda, Universidad de Chile The triviality of the shocked map
Simon Griffiths, PUC-Rio TBA
IS9 - Branching Processes
Organizer: Santiago Saglietti , Pontificia Universidad Católica de Chile
Airam Aseret Blancas Benitez, ITAM Evolving genealogies for finite branching populations under selection and competition
Pablo Groisman, University of Buenos Aires Rank Dependent Branching-Selection Particle Systems
Simon Harris, University of Auckland Genealogies of samples from some stochastic population models
IS10 - Modern martingale methods in machine learning and statistics
Organizer: Aaditya Ramdas , Carnegie Mellon University. Chair: Morgane Austern
Johannes Ruf, LSE Testing exchangeability: fork-convexity, supermartingales, and e-processes
Sam Allen, University of Bern Assessing the calibration of multivariate probabilistic forecasts: Sequential tests using e-values
Michael Lindon, Netflix Applications of Martingale Statistical Methods at Netflix