JSM2026
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Yuqi Gu

Columbia University
13 appearances in the program

Sessions & presentations

Advances in High-Dimensional Hypothesis Testing and Debiased Inference
Contributed Papers · Mon, Aug 3 , 10:30 AM
Chair
Frontiers in Statistical Learning, Generative AI, and Uncertainty Quantification
Presentation: A Recipe for Generalized Latent Factor Models: Missingness, Implicit Regularization, and Inference
Contributed Papers · Sun, Aug 2 , 4:00 PM
Co-Author
Calibration, Error Control, and Robust Inference for Complex Data
Contributed Papers · Tue, Aug 4 , 8:30 AM
Chair
Bayesian Methods for High-Dimensional and Structured Data
Presentation: Bayesian Deep and Identifiable Generative Models for High-Dimensional and Mixed-Type Data
Contributed Papers · Sun, Aug 2 , 2:00 PM
Co-Author
Causal Inference, Applied Modeling, and Specialized Statistical Methods
Contributed Papers · Thu, Aug 6 , 8:30 AM
Chair
Statistical Methods for Dependent, Spatial, and Time Series Data
Contributed Papers · Wed, Aug 5 , 10:30 AM
Chair
Dimension Reduction, Latent Structure, and Factor Modeling in Modern Data
Contributed Papers · Tue, Aug 4 , 2:00 PM
Chair
Latent Structures from High-dimensional Data: Theory, Algorithms, and Applications
Invited Paper Session · Wed, Aug 5 , 10:30 AM
Organizer
Latent Structures from High-dimensional Data: Theory, Algorithms, and Applications
Presentation: Optimal Inference for Generalized Latent Factor Models: Nonconvex Optimization, Implicit Regularization, and Missingness
Invited Paper Session · Wed, Aug 5 , 10:30 AM
Speaker
SLDS Student Paper Awards
Presentation: "Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length"
Topic-Contributed Paper Session · Mon, Aug 3 , 2:00 PM
Co-Author
SLDS Student Paper Awards
Presentation: Discrete Causal Representation Learning
Topic-Contributed Paper Session · Mon, Aug 3 , 2:00 PM
Co-Author
COPSS Elizabeth L Scott Award Lecture
Invited Paper Session · Tue, Aug 4 , 2:00 PM
Discussant