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Yingying Fan, University of Southern California 

Universal Rank Inference via Residual Subsampling with Application to Large Networks

Yang Feng, New York University

Semiparametric Modeling and Analysis for Longitudinal Network Data

Yuting Wei, University of Pennsylvania

A Non-asymptotic Framework for Approximate Message Passing, with Application to Z2 Synchronization

Yuxin Chen, University of Pennsylvania

Towards a Non-asymptotic Theory for Diffusion Generative Models

Lunch Break 12:15 - 14:00

Xiaoyue Maggie Niu, Pennsylvania State University 

Learning Network Properties without Network Data--A Correlated Network Scale-Up Model

Zongming Ma, University of Pennsylvania

Community Detection with Contextual Multilayer Networks

Srijan Sengupta, North Carolina State University

Anomalous Clique Detection and Identification in Inhomogeneous Networks

Lihua Lei, Stanford University

Unified Two-to-Infinity Eigenspace Perturbation Theory for Symmetric Random Matrices

Marten Wegkamp, Cornell University 

High-Dimensional Discriminant Analysis

Minh Tang, North Carolina State University

Perturbation Analysis of Randomized SVD and its Applications to High-Dimensional Statistics

Tyler McCormick, University of Washington 

Asymptotically Normal Estimation of Local Latent Network Curvature

Lan Zhang, University of Illinois at Chicago

Nonparametric Observed Standard Errors for High Frequency Data

Ji Zhu, University of Michigan

Network Community Detection Using Higher-Order Structures

Elizaveta Levina, University of Michigan

Latent Space Models for Multiplex Networks with Shared Structure

Rong Chen, Rutgers University

Time Varying Dynamic Transport Networks and Matrix Factor Models

Bryan Graham, University of California, Berkeley

Simulated Maximum Likelihood (SML) Estimation of Supermodular Complete Information Discrete Games with Many Players

Per Mykland, University of Chicago

Of Lean Cats, Unsupervised Learning, and Contiguity

Lunch Break 12:15 - 14:00

Annie Qu, University of California, Irvine

A Model-Agnostic Geometric Deep Network for Interpretable Neuronal Mechanisms

Jinchi Lv, University of Southern California 

Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors

Wen Zhou, Colorado State University

Nonparametric Inference on Network Effects of General Relationship Network Data

Tianxi Li, University of Minnesota

Network Mixing: Adaptive Network Estimation and Beyond

Yumou Qiu, Iowa State University

Causal Inference on Multiple Derived Outcomes

Weijing Tang, Harvard University

Knowledge-Augmented Ising Model with Applications to Electronic Healthcare Records

Cunhui Zhang, Rutgers University

Chi-squared and Normal Approximations in Large Contingency Tables 

Tracy Ke, Harvard University

Entrywise eigenvector analysis for network adjacency and Laplacian

Florentina Bunea, Cornell University

Inference for the Wasserstein Distance Between Mixing Measures in Topic Models

Panos Toulis, University of Chicago

Experimental Designs in Large Inter-Firm Networks

Emma Jingfei Zhang, Emory University

Decoupling in Network Community Detection

Rachel Wang, University of Sydney

Individual-Centered Partial Information Networks: From Local Views to Global Structure

Yuejie Chi, Carnegie Mellon University

The Blessing of Heterogeneity in Federated Q-learning: Linear Speedup and Beyond

Lunch Break 12:15 - 14:00

Daniel Sussman, Boston University

Matching Embeddings via Shuffled Total Least Squares Regression

Xiaodong Li, University of California, Davis

Graph Laplacian Based Spectral Clustering and Heterogeneous SBM

Yubai Yuan, Pennsylvania State University

High-order Joint Embedding for Multi-Level Link Prediction

Xin Tong, University of Southern California

Social Learning: Attitudes Towards Authority