Invited Thematic Sessions
- 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