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Robust and reliable low-rank approximation and dimension reduction with COlumn subset SElection

Obiettivo

Modern science and technology generate massive datasets, from genomic profiles to social networks and sensor recordings. To extract knowledge, we need to reduce their dimension without losing interpretability: the Column Subset Selection Problem (CSSP) tackles this problem by choosing a small set of representative columns from a matrix that retain the essential structure of the data. All other columns can be written, approximately, as a linear combination of the few chosen representative columns.

Real data are noisy, incomplete, and subject to external restrictions, be it fairness requirements across sub-populations, physical limits on sensor placement, or computational barriers to accessing the full dataset. While powerful, most current CSSP assume ideal data and unconstrained choices.

The COSE project (Robust and reliable low-rank approximation and dimension reduction with COlumn subset SElection) will tackle this fundamental challenge by developing a unified theoretical and computational framework for fast, robust, and constraint-aware CSSP. The main objectives of COSE are to address (1) robustness to perturbations, noise, and outliers; (2) integration of practical constraints, such as group fairness or limited data access; (3) theoretical guarantees that bridge the gap between heuristic success and rigorous understanding.

COSE will combine insights from numerical linear algebra, randomized algorithms, and optimization to develop provably reliable methods that scale to massive datasets. The outcomes will include new algorithms with theoretical guarantees, open-source software and benchmarks for robust low-rank approximation and dimension reduction, with advances that impact a broad range of fields, from scientific computing to machine learning.

Campo scientifico (EuroSciVoc)

Parole chiave

Programma(i)

Argomento(i)

Meccanismo di finanziamento

HORIZON-ERC - HORIZON ERC Grants

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(si apre in una nuova finestra) ERC-2026-STG

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Istituzione ospitante

UNIVERSITA DI PISA
Contributo netto dell'UE
€ 1 362 108,00
Indirizzo
LUNGARNO PACINOTTI 43/44
56126 Pisa
Italia
Regione
Centro (IT) Toscana Pisa
Tipo di attività
Higher or Secondary Education Establishments
Collegamenti
Costo totale
€ 1 362 108,00

Beneficiari (1)