People in Probability Theory

105 researchers

Most varied Soonest event

Daniel Szyld
Temple University
Matrix Algebra, Linear Algebra · 2 talks
Latest talk · May 5, 2026
Provable Convergence rate for Asynchronous methods via Randomized Gauss-Seidel
Jonas Ranft
Statistical Mechanics, Differential Equations · 2 posters
Latest poster · Mar 27, 2025
How connection probability shapes fluctuations of neural population dynamics
Nils Greven
Statistical Mechanics, Differential Equations · 2 posters
Latest poster · Mar 27, 2025
How connection probability shapes fluctuations of neural population dynamics
Tilo Schwalger
TU Berlin
Dynamical Systems, Statistical Physics · 1 talk · 1 workshop · 3 posters · 1 podcast episode
Latest poster · Mar 27, 2025
How connection probability shapes fluctuations of neural population dynamics
Charles Bouveyron
Inria Centre at Université Côte d’Azur; Université Côte d’Azur
Linear Algebra, Numerical Analysis · 1 talk
Latest talk · Oct 26, 2026
Scaling Optimal Transport to High-Dimensional Gaussian Distributions with Application to Domain Adaptation
Davide Petturiti
Sapienza University of Rome
Game Theory, Finance · 1 talk
Latest talk · Oct 22, 2026
Optimal transport in Dempster–Shafer theory and its applications in game theory
Dilara Suchkova
Ufa University of Science and Technology, Russia
Differential Equations, Numerical Analysis · 1 talk
Latest talk · Oct 21, 2026
On numerical-analytical methods for solving the Cauchy problem for stochastic Korteweg-de Vries equations
Ramon van Handel
Princeton University
Algebra, Differential Geometry · 1 talk
Latest talk · Oct 14, 2026
Optimal Spectral Gaps | Richard M. Karp Distinguished Lecture
Daniel Bartl
National University of Singapore
Matrix Algebra, Linear Algebra · 1 workshop
Latest workshop · Oct 5, 2026
AI in Scientific Computing – Training School
Maximilian Herde
ETH Zürich
Matrix Algebra, Linear Algebra · 1 workshop
Latest workshop · Oct 5, 2026
AI in Scientific Computing – Training School
Stanislav Budzinskiy
University of Vienna
Numerical Analysis, Computational Mathematics · 2 workshops
Latest workshop · Oct 5, 2026
AI in Scientific Computing – Training School
Antonio Ocello
ENSAE Paris
Computational Statistics, Data Science · 1 talk
Latest talk · Oct 2, 2026
Do Heavy Tails Help Diffusion? On the Subtle Trade-off Between Initialization and Training
Amit Rajaraman
MIT
Statistical Mechanics, Computational Mathematics · 1 talk
Latest talk · Sep 25, 2026
Weak Poincaré Inequalities and Mixing from Non-Worst-Case Initializations
Federico Sau
University of Milan
Statistical Mechanics, Physics · 1 talk
Latest talk · Sep 25, 2026
Aldous' spectral gap phenomenon for the KMP model
Aiya Kuchukova
Georgia Tech
Statistical Mechanics, Computational Mathematics · 1 talk
Latest talk · Sep 25, 2026
Sampling Sphere Packings with Continuum Glauber Dynamics
Zongchen Chen
Georgia Tech
Statistical Mechanics, Geometry · 1 talk
Latest talk · Sep 24, 2026
Discrete Isoperimetric Inequalities via Curvature
Nitya Mani
Massachusetts Institute of Technology
Statistical Mechanics, Computational Mathematics · 1 talk
Latest talk · Sep 24, 2026
Strong Spatial Mixing for Colorings on Trees and its Algorithmic Applications
Piotr Mizerka
Algebra, Computational Mathematics · 1 talk
Latest talk · Sep 24, 2026
Sampling elements of a finite group: efficiency of the product replacement algorithm with accumulator
Salvatore Torquato
Princeton University
Geometry, Chemistry · 1 talk
Latest talk · Sep 23, 2026
Hidden Order: The Geometry of Complex Patterns
Yunbum Kook
Georgia Tech
Computational Mathematics, Geometry · 1 talk
Latest talk · Sep 23, 2026
Convex-body Sampling to the Kannan-Lovász-Simonovits Conjecture

Researchers