Monday, June 29 (for Zoom link for Monday click here)

13:00 - 13:45 Registration

13:45 - 14:00     Welcome

14:00 - 15:00 Louis Chen: Rates of convergence in the Erdös-Kac theorem for additive functions

15:00 - 15:30 Coffee break

15:30 - 16:15 Adrian Röllin: Stein's method and non-stationary Markov chains

16:15 - 17:00 Robert Gaunt: Convex distance bounds for the stable central limit theorem via Stein's method

17:00 - 17:25 Alfred Kume: On Stein Method of Moments and Generalised Score Matching

17:30 - 18:30 Reception

Tuesday, June 30 (for Zoom link for Tuesday click here)

09:00 - 09:45 Larry Goldstein: Enhanced Stein Couplings for subgraph counts in the attribute model

09:45 - 10:30 Nathan Ross: Detecting correlation in uniform attachement trees

10:30 - 11:00 Coffee break

11:00 - 11:45 Tiffany Lo: The number of descendants in a preferential attachment graph

11:45 - 12:30 Benedikt Rednoß: Central limit theorems for high dimensional lattice polytopes

12:30 - 14:00 Lunch break and poster presentation

14:00 - 14:25 Giulio Zucal: Probability graphons and large deviations for random weighted graph

14:30 - 14:55 Anirban Mandal: Statistical inference for subgraph counts and clustering coefficient using network sampling in a sparse Stochastic Block Model framework

15:00 - 15:30 Coffee break

15:30 - 15:55 James Wilsenach: Network-based Manifold Learning for Unsupervised Feature Selection: Applications in Imaging Flow Cytometry

16:00 - 16:25 Anita Applegarth: Beyond pairwise interactions: Hypergraph and stoichiometry representation outperform pairwise graphs for predicting gene essentiality and drug targets.

16:30 - 16:55 Piotr Sliwa: Multilayer network reveal patient subtypes in COVID-19 and Sepsis

17:00 - 17:25 Tian Xie:  QAttention_periodic_GNAR_edge: A Model Based on Time-Varying Weights and Periodic Dynamics

Wednesday, July 1  (for Zoom link for Wednesday click here; Passcode: 040764)

09:00 - 09:45 Bhaswar Bhattacharya: Kernel and graphical methods for comparing conditional distributions

09:45 - 10:10 Nikolaos Nakis: Archetypal Generative Models for Explainable Network Communities

10:15 - 10:40 Gurjeet Jagwani: StAD: Stein Amortized Divergence for Fast Likelihoods with Diffusion and Flow

10:40 - 11:00 Coffee break

11:00 - 11:45 Wenkai Xu: Stein discrepancies for testing and model assessments

11:45 - 12:30 Heishiro Kanagawa: A Computable Measure of Suboptimality for Entropy-Regularised Variational Objectives

12:30 - 14:00 Lunch break and poster presentation

14:00 - 14:25 Michal Kozyra: Reliability through Stein Operators: From Diagnosis to Regularisation

14:30 - 14:55 Anum Fatima: A Pure Hypothesis Test for Inhomogeneous Random Graph Models Based on a Kernelised Stein Discrepancy

15:00 - 15:30 Coffee break

15:30 - 16:15 Yvik Swan: Solving Stein equations with kernels

16:15 - 17:00 Krishnakumar Balasubramanian: Finite-particle rates for SVGD

Thursday, July 2 (for Zoom link for Thursday click here; Passcode  653215)

09:00 - 09:45 Joe Yukich: Quantitative central limit theorems in stochastic geometry

09:45 - 10:30 Matthias Schulte: Discretised normal approximation of Poisson functionals in total variation distance

10:30 - 11:00 Coffee break

11:00 - 11:45 Tara Trauthwein: Multivariate quantitative CLTs and converging covariances

11:45 - 12:30 Chinmoy Bhattacharjee: Dickman approximation of weighted random sums in Kolmogorov distance

12:30 - 14:00 Lunch break and poster presentation

14:00 - 14:45 Omer Bobrowski: High-Order Connectivity and Coverage

14:45 - 15:10 Ka Man Yim: Reconstructing the topology of sublevel sets of functions on manifolds

15:15 - 15:45 Coffee break

15:45 - 16:10 Leoni Wirth: Goodness-of-fit testing for point processes

16:15 - 16:40 Gilles Germain: Normal approximation of ultra log-concave distributions

16:45 - 17:10 Edward Eriksson: Central Limit Theorems for Unions 

Friday, July 3 (for Zoom link for Friday click here; Passcode: 333629)

09:00 - 09:45 Andreas Anastasiou: Finite sample distributional approximations for spectral mean estimators of time series

09:45 - 10:30 Tobias Kley: Finite sample distributional approximations for spectral density estimators

10:30 - 11:00 Coffee break

11:00 - 11:45 Edwin Barthel: Subhypergraph counts for hypergraphons with node covariates: asymptotic and bootstrap inference

11:45 - 12:30 Giovanni Peccati: On irreducible CLTs

12:30 Closing