Workshops

Fall 2022

Graph Limits, Nonparametric Models, and Estimation

Sep 26, 2022 to Sep 30, 2022

Return to event »

Monday, September 26th, 2022
8:30 am–8:55 am		Coffee and Check In
8:55 am–9:00 am		Opening Remarks
9:00 am–9:45 am		Random Cluster Model on Regular Graphs Péter Csikvári (Eötvös Loránd University)
9:45 am–10:30 am		Analytic Approach to Guasirandomness Dan Král (Masaryk University)
10:30 am–11:00 am		Coffee Break
11:00 am–11:45 am		Sparse Random Graphs: Interplay of Local and Global Structure Mihyun Kang (Technische Universität Graz, Austria)
11:45 am–12:30 pm		Response of Graphs to Competing Constraints Charles Radin (University of Texas)
12:30 pm–2:00 pm		Lunch
2:00 pm–2:45 pm		Mean-field approximations for high-dimensional Bayesian Regression Subhabrata Sen (Harvard University)
2:45 pm–3:30 pm		A Large Deviation Principle for Block Models Julia Gaudio (Northwestern University)
3:30 pm–4:00 pm		Coffee Break
4:00 pm–4:45 pm		Higher-Order Graphon Theory: Fluctuations, Inference, and Degeneracies Bhaswar Bhattacharya (University of Pennsylvania)
4:45 pm–5:45 pm		Reception

Tuesday, September 27th, 2022
8:30 am–9:00 am		Coffee and Check In
9:00 am–9:45 am		Common Graphs with Arbitrary Chromatic Number Jan Volec (Czech Technical University in Prague)
9:45 am–10:30 am		A Deterministic Theory of Low Rank Matrix Completion Sourav Chatterjee (Stanford University)
10:30 am–11:00 am		Break
11:00 am–11:45 am		Higher Order Fluctuations in Dense Random Graph Models Adrian Roellin (National University of Singapore)
11:45 am–12:30 pm		Symmetry and Convergence Peter Orbanz (University College London)
12:30 pm–2:00 pm		Lunch
2:00 pm–2:45 pm		Efficiently Exploiting Model Structure in Network Causal Inference with and without Knowledge of the Network Christina Lee Yu (Cornell University) presenting Virtually
2:45 pm–3:30 pm		Sparse Random Graphs with Many Triangles Suman Chakraborty (Leiden University)
3:30 pm–4:00 pm		Break
4:00 pm–4:45 pm		On the Second Kahn-Kalai Conjecture Ilias Zadik (Massachusetts Institute of Technology (MIT)

Wednesday, September 28th, 2022
8:30 am–9:00 am		Coffee and Check In
9:00 am–9:45 am		The Degree-Restricted Random Process Is Far From Uniform Lutz Warnke (UC San Diego)
9:45 am–10:30 am		Recent Developments on Graph Norms Joonkyung Lee (Hanyang University)
10:30 am–11:00 am		Break
11:00 am–11:45 am		A Theory for Graph Embedding Methods and Some Limit Theorems Morgane Austern (Harvard University)
11:45 am–12:30 pm		Higher-order Fluctuations in Dense Random Graph Models Gursharn Kaur (University of Virgina)
12:30 pm–2:00 pm		Lunch
2:00 pm–4:00 pm		Hike

Thursday, September 29th, 2022
8:30 am–9:00 am		Coffee and Check In
9:00 am–9:45 am		Graphon-valued Stochastic Processes Siva Athreya (Indian Statistical Insitute)
9:45 am–10:30 am		Graphon Limit and Large Independent Sets in Uniform Random Cographs Valentin Féray (Université de Lorraine)
10:30 am–11:00 am		Break
11:00 am–11:45 am		Motif Counting via Subgraph Sampling Sumit Mukherjee (Columbia University)
11:45 am–12:30 pm		Vertexons and Embedded Graphon Mean Field Games Peter Caines (McGill University)
12:30 pm–2:00 pm		Lunch
2:00 pm–2:45 pm		Graphon Games Francesca Parise (Cornell University)
2:45 pm–3:30 pm		Longitudinal Network Models, Log-Linear Multigraph Models, and Implications to Estimation and Testing Model Fit Sonja Petrović (Illinois Institute of Technology)

Friday, September 30th, 2022
8:30 am–9:00 am		Coffee and Check In
9:00 am–9:45 am		Large Deviation Principle for the Norm of the Adjacency Matrix and the Laplacian Matrix of Inhomogeneous Erd\H{o}s-R\'enyi Random Graphs Frank den Hollander (Leiden University)
9:45 am–10:30 am		Stochastic Processes on Sparse Graphs: Hydrodynamic Limits and Markov Approximations Kavita Ramanan (Brown University)
10:30 am–11:00 am		Break
11:00 am–11:45 am		Long Range Dependence in Evolving Networks Shankar Bhamidi (University of North Carolina, Chapel Hill)
11:45 am–12:30 pm		Survey on Sparse Graph Limits + A Toy Example Mei Yin (University of Denver)
12:30 pm–2:00 pm		Lunch
2:00 pm–2:45 pm		Machine Learning on Large-Scale Graphs Luana Ruiz (University of Pennsylvania)
2:45 pm–3:30 pm		Optimality of Variational Inference for Stochastic Block Model Olga Klopp (ESSEC Business School)