This the archive page for our ongoing seminar in probability and statistics series. Please find the historical (<2021) archives in the left pane, or find a later archived event below.
Dalia Terhesiu: Stable large and local large deviation for dependent random variables
Gabor Lugosi: Root finding and broadcasting in recursive trees and dags.
12:00: Jianfeng (Jeff) Yao: Impact of classification difficulty on the weight matrices spectra in Deep Learning and application to early-stopping
Michiel Renger: Variational Structures Beyond Gradient Flows
Antal Jarai: Phase transition in discrete sequential assignment
Upanshu Sharma: Quantitative coarse-graining of Markov chains
Mathias Drton: Half-Trek Criterion for Identifiability of Latent Variable Models
Anna Gallo: Critical configurations and tube of typical trajectories for the Potts model with zero external magnetic field evolving under Glauber dynamics.
Alexander Aue : Random matrix theory for high-dimensional time series
Balazs Rath: Percolation of worms
Aad van der Vaart: Statistical estimation in preferential attachment models
Alexander Drewitz: Percolation and long-range correlations
Daniel Lacker: Mean field games and the convergence problem
Francesco Caravenna: Hairer's Reconstruction Theorem without Regularity Structures
Christian Maes (Wednesday)
Monika Bhattacharjee: Asymptotics of Large Autocovariance Matrices
Marijn ten Thij: Computational Psychology: Depression alters the circadian pattern of online activity
Jin Feng: Change-of-coordinate methods for SPDEs
Giorgos Vasdekis: The Speed Up Zig-Zag Sampler
Martina Vittorietti: General framework for testing Poisson-Voronoi diagrams assumption for diverse microstructural data
Piao Chen: Estimation of Field Reliability Based on Aggregate Lifetime Data (9:00 AM)
Antonis Papapantoleon: Model-free bounds in finance: a journey through probability, statistics and optimization
Johannes Heiny: Recent advances in large sample correlation matrices and their applications