2 papers
cs.LG2026
Structure and Regularization of Fused Objectives in Kernel Discriminant Analysis for Small-Sample-Size Problems
Lingxiao Qu, Yan Pei
When the number of training samples is smaller than the dimension, discriminant analysis faces a singular within-class scatter matrix, and fused objectives that combine the total v…
cs.LG2026
Exact Degeneracy Under Balanced k-Shot Sampling:Consequences for Small-Sample Discriminant Analysis on LLM Embeddings
Lingxiao Qu
Balanced k-shot sampling, drawing exactly k labeled examples per class, is the standard protocol in few-shot evaluation. We show that it induces an exact degeneracy in Kernelized L…