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stat.ME2026
Beyond Local Independence: High-Dimensional Latent Class Graphical Models with Shared Block Structure
Seunghyun Lee, Yuqi Gu
Latent class models are central tools for multivariate categorical data from heterogeneous populations, but their standard local-independence assumption is often unrealistic in mod…
stat.ME2026
Discrete Causal Representation Learning
Wenjin Zhang, Yixin Wang, Yuqi Gu
Causal representation learning seeks to uncover causal relationships among high-level latent variables from low-level, entangled, and noisy observations. Existing approaches often…
stat.ME2026
Scalable Text-Embedding-informed Cognitive Diagnosis of Large Language Models
Jia Liu, Zhiyu Xu, Yuqi Gu
Large language models (LLMs) have achieved remarkable performance on diverse benchmarks, yet existing evaluation practices largely rely on coarse summary metrics that obscure under…