dimensionality reduction 1graph regularization 1principal component analysis 1sparse precision graph 1structured data 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
Graph Regularized PCA
Antonio Briola, Marwin Schmidt, Fabio Caccioli +4
The paper introduces Graph Regularized PCA (GR‑PCA), a PCA variant that learns a sparse precision graph and regularizes loadings toward low‑frequency graph Laplacian modes to prese…
cs.LG2026
Compositional Sparsity as an Inductive Bias for Neural Architecture Design
Hongyu Lin, Antonio Briola, Yuanrong Wang +1
Identifying the structural priors that enable Deep Neural Networks (DNNs) to overcome the curse of dimensionality is a fundamental challenge in machine learning theory. Existing li…
q-fin.GN2025
Cryptocurrencies in the Balance Sheet: Insights from (Micro)Strategy -- Bitcoin Interactions
Sabrina Aufiero, Antonio Briola, Tesfaye Salarin +3
This paper investigates the evolving link between cryptocurrency and equity markets in the context of the recent wave of corporate Bitcoin (BTC) treasury strategies. We assemble a…