Graph-Based Correlation Matrix Generation: A Convex Optimization Approach

arXiv:2607.22436 · stat.ML, cs.LG · Submitted 2026-07-24 · Read on arXiv

Ali Fakhar, K{é}vin Polisano, Ir{è}ne Gannaz, Sophie Achard

UGA · UGA · G-SCOP\_GROG, G-SCOP, Grenoble INP, UGA · STATIFY, LJK, UGA

stat.ML, cs.LG

Submitted: 2026-07-24

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Sparsity — 7× in this paper · explained in 5 episodes
Stochastic Block Model — 7× in this paper
Matrix Completion — 5× in this paper · explained in 4 episodes
Parameterization — 5× in this paper · explained in 2 episodes
Benchmark — 4× in this paper · explained in 2 episodes
Objective Function — 4× in this paper · explained in 2 episodes
Benchmarking — 2× in this paper · explained in 4 episodes
Conditional Independence — 2× in this paper · explained in 2 episodes
Orthogonal Projection — 2× in this paper · explained in 2 episodes
Perfect Elimination Ordering — 2× in this paper
Theoretical Guarantees — 2× in this paper · explained in 2 episodes
signal-to-noise ratios — 2× in this paper · explained in 2 episodes
Adam — 1× in this paper · explained in 3 episodes
Clustering — 1× in this paper · explained in 2 episodes
Convergence Guarantees — 1× in this paper · explained in 3 episodes
Generative Adversarial Networks (GANs) — 1× in this paper · explained in 3 episodes
Generative Model — 1× in this paper · explained in 2 episodes
Generative Models — 1× in this paper · explained in 3 episodes
Lasso — 1× in this paper · explained in 2 episodes
Structural Constraints — 1× in this paper · explained in 2 episodes
Wavelet Transform — 1× in this paper · explained in 2 episodes