4 citations · 7 across the 4 of their papers we have counts for
5 papers
T-ARC: Topology-Aware Randomized Clustering via Distributionally Robust Stochastic Block Models
Serena Grazia De Benedictis, Andersen Ang, Nicoletta Del Buono +2
In this work, we introduce a new clustering method, namely T-ARC (Topology-Aware Randomized Clustering), that corrects the geometric bias of K-means by embedding topological inform…
Binno: A 1st-order method for Bi-level Nonconvex Nonsmooth Optimization for Matrix Factorizations
Laura Selicato, Flavia Esposito, Andersen Ang
Nonconvex and nonsmooth bi-level optimization poses critical theoretical challenges, while arising in several applications. In this work, we develop a method for nonconvex, nonsmoo…
Sparse Hyperparametric Itakura-Saito Nonnegative Matrix Factorization via Bi-Level Optimization
Laura Selicato, Flavia Esposito, Andersen Ang +2
The selection of penalty hyperparameters is a critical aspect in Nonnegative Matrix Factorization (NMF), since these values control the trade-off between reconstruction accuracy an…
Theoretical aspects in penalty hyperparameters optimization
Flavia Esposito, Laura Selicato, Caterina Sportelli
Learning processes are useful methodologies able to improve knowledge of real phenomena. These are often dependent on hyperparameters, variables set before the training process and…
Bi-level algorithm for optimizing hyperparameters in penalized nonnegative matrix factorization
Nicoletta Del Buono, Flavia Esposito, Laura Selicato +1
Learning approaches rely on hyperparameters that impact the algorithm's performance and affect the knowledge extraction process from data. Recently, Nonnegative Matrix Factorizatio…