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Graph Limits, Nonparametric Models, and Estimation
Program
Graph Limits and Processes on Networks: From Epidemics to Misinformation
Location
All events take place in the Calvin Lab auditorium.
Date
Monday, Sept. 26
–
Friday, Sept. 30, 2022
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Workshop & Symposia
Schedule
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The Workshop
Schedule
Videos
Monday, Sept. 26, 2022
8:30
–
8:55 a.m.
Coffee and Check In
8:55
–
9 a.m.
Opening Remarks
9
–
9:45 a.m.
Random Cluster Model on Regular Graphs
Péter Csikvári (Eötvös Loránd University)
9:45
–
10:30 a.m.
Analytic Approach to Guasirandomness
Dan Král (Masaryk University)
10:30
–
11 a.m.
Coffee Break
11
–
11:45 a.m.
Sparse Random Graphs: Interplay of Local and Global Structure
Mihyun Kang (Technische Universität Graz, Austria)
11:45 a.m.
–
12:30 p.m.
Response of Graphs to Competing Constraints
Charles Radin (University of Texas)
12:30
–
2 p.m.
Lunch
2
–
2:45 p.m.
Mean-field approximations for high-dimensional Bayesian Regression
Subhabrata Sen (Harvard University)
2:45
–
3:30 p.m.
A Large Deviation Principle for Block Models
Julia Gaudio (Northwestern University)
3:30
–
4 p.m.
Coffee Break
4
–
4:45 p.m.
Higher-Order Graphon Theory: Fluctuations, Inference, and Degeneracies
Bhaswar Bhattacharya (University of Pennsylvania)
4:45
–
5:45 p.m.
Reception
Tuesday, Sept. 27, 2022
8:30
–
9 a.m.
Coffee and Check In
9
–
9:45 a.m.
Common Graphs with Arbitrary Chromatic Number
Jan Volec (Czech Technical University in Prague)
9:45
–
10:30 a.m.
A Deterministic Theory of Low Rank Matrix Completion
Sourav Chatterjee (Stanford University)
10:30
–
11 a.m.
Break
11
–
11:45 a.m.
Higher Order Fluctuations in Dense Random Graph Models
Adrian Roellin (National University of Singapore)
11:45 a.m.
–
12:30 p.m.
Symmetry and Convergence
Peter Orbanz (University College London)
12:30
–
2 p.m.
Lunch
2
–
2:45 p.m.
Efficiently Exploiting Model Structure in Network Causal Inference with and without Knowledge of the Network
Christina Lee Yu (Cornell University)
2:45
–
3:30 p.m.
Sparse Random Graphs with Many Triangles
Suman Chakraborty (Leiden University)
3:30
–
4 p.m.
Break
4
–
4:45 p.m.
On the Second Kahn-Kalai Conjecture
Ilias Zadik (Massachusetts Institute of Technology (MIT)
Wednesday, Sept. 28, 2022
8:30
–
9 a.m.
Coffee and Check In
9
–
9:45 a.m.
The Degree-Restricted Random Process Is Far From Uniform
Lutz Warnke (UC San Diego)
9:45
–
10:30 a.m.
Recent Developments on Graph Norms
Joonkyung Lee (Hanyang University)
10:30
–
11 a.m.
Break
11
–
11:45 a.m.
A Theory for Graph Embedding Methods and Some Limit Theorems
Morgane Austern (Harvard University)
11:45 a.m.
–
12:30 p.m.
Higher-order Fluctuations in Dense Random Graph Models
Gursharn Kaur (University of Virgina)
12:30
–
2 p.m.
Lunch
2
–
4 p.m.
Hike
Thursday, Sept. 29, 2022
8:30
–
9 a.m.
Coffee and Check In
9
–
9:45 a.m.
Graphon-valued Stochastic Processes
Siva Athreya (Indian Statistical Insitute)
9:45
–
10:30 a.m.
Graphon Limit and Large Independent Sets in Uniform Random Cographs
Valentin Féray (Université de Lorraine)
10:30
–
11 a.m.
Break
11
–
11:45 a.m.
Motif Counting via Subgraph Sampling
Sumit Mukherjee (Columbia University)
11:45 a.m.
–
12:30 p.m.
Vertexons and Embedded Graphon Mean Field Games
Peter Caines (McGill University)
12:30
–
2 p.m.
Lunch
2
–
2:45 p.m.
Graphon Games
Francesca Parise (Cornell University)
2:45
–
3:30 p.m.
Longitudinal Network Models, Log-Linear Multigraph Models, and Implications to Estimation and Testing Model Fit
Sonja Petrović (Illinois Institute of Technology)
Friday, Sept. 30, 2022
8:30
–
9 a.m.
Coffee and Check In
9
–
9:45 a.m.
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
–
10:30 a.m.
Stochastic Processes on Sparse Graphs: Hydrodynamic Limits and Markov Approximations
Kavita Ramanan (Brown University)
10:30
–
11 a.m.
Break
11
–
11:45 a.m.
Long Range Dependence in Evolving Networks
Shankar Bhamidi (University of North Carolina, Chapel Hill)
11:45 a.m.
–
12:30 p.m.
Survey on Sparse Graph Limits + A Toy Example
Mei Yin (University of Denver)
12:30
–
2 p.m.
Lunch
2
–
2:45 p.m.
Machine Learning on Large-Scale Graphs
Luana Ruiz (University of Pennsylvania)
2:45
–
3:30 p.m.
Optimality of Variational Inference for Stochastic Block Model
Olga Klopp (ESSEC Business School)
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