A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
APO optimizes neural network parameters by amortizing proximal point methods.
The OSCAR (octagonal selection and clustering algorithm for regression) regularizer consists of a L_1 norm plus a pair-wise L_inf norm (responsible for its grouping behavior) and was proposed to encourage group sparsity in scenarios where the groups are a priori unknown. The OSCAR regularizer has a non-trivial proximit…
Study examines APOE's impact on AD progression using a novel DEBM approach.
APo-VAE generates text in hyperbolic space for better hierarchical representation.
PDO optimizes LLM prompts without labels, improving performance.
Novel method identifies proteomic risk markers for Alzheimer disease.
Second generation sequencing technologies are being increasingly used for genetic association studies, where the main research interest is to identify sets of genetic variants that contribute to various phenotype. The phenotype can be univariate disease status, multivariate responses and even high-dimensional outcomes.…