2 papers
cs.LG2026
Exponential Family Discriminant Analysis: Generalizing LDA-Style Generative Classification to Non-Gaussian Models
Anish Lakkapragada
We introduce Exponential Family Discriminant Analysis (EFDA), a unified generative framework that extends classical Linear Discriminant Analysis (LDA) beyond the Gaussian setting t…
cs.LG2025
Using physics-inspired Singular Learning Theory to understand grokking & other phase transitions in modern neural networks
Anish Lakkapragada
Classical statistical inference and learning theory often fail to explain the success of modern neural networks. A key reason is that these models are non-identifiable (singular),…