The missing mathematical story of Bayesian uncertainty quantification for big data

Project Information

BigBayesUQ

Grant agreement ID: 101041064

DOI 10.3030/101041064

EC signature date 10 February 2022

Start date 1 August 2022

End date 31 July 2027

Funded under

• European Research Council (ERC)

Total cost € 1 492 750,00

EU contribution € 1 492 750,00

Coordinated by

UNIVERSITA COMMERCIALE LUIGI BOCCONI
Italy

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (1)

Data Management Plan

Publications

Conference proceedings (2)

Variational Gaussian Processes For Linear Inverse Problems

Author(s): Randrianarisoa, Thibault; Szabo, Botond
Published in: NeurIPS-2023, 2023, ISSN 2331-8422
Publisher: Arxiv
DOI: 10.48550/arXiv.2311.00663

Optimal testing using combined test statistics across independent studies

Author(s): Vuursteen, Lasse; Szabo, Botond; van der Vaart, Aad; van Zanten, Harry
Published in: NeurIPS-2023, 2023
Publisher: NeurIPS-2023
DOI: 10.48550/arXiv.2310.19541

Peer reviewed articles (9)

Distributed function estimation: Adaptation using minimal communication

Author(s): Szabo, Botond; van Zanten, Harry
Published in: Mathematical Statistics and Learning, 2022, ISSN 2520-2316
Publisher: EMS Press
DOI: 10.48550/arxiv.2003.12838

Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression

Author(s): Dennis Nieman, Botond Szabo, Harry van Zanten
Published in: Electronic Journal of Statistics, Issue 17, 2023, ISSN 1935-7524
Publisher: Institute of Mathematical Statistics
DOI: 10.1214/23-ejs2155

Radial neighbours for provably accurate scalable approximations of Gaussian processes

Author(s): Yichen Zhu, Michele Peruzzi, Cheng Li, David B Dunson
Published in: Biometrika, 2024, ISSN 0006-3444
Publisher: Oxford University Press (OUP)
DOI: 10.1093/biomet/asae029

Contraction rates for sparse variational approximations in Gaussian process regression

Author(s): Nieman, Dennis; Szabo, Botond; van Zanten, Harry
Published in: Journal of Machine Learning Research, Issue 23, 2022, ISSN 1533-7928
Publisher: JMLR, Inc. and Microtome Publishing
DOI: 10.48550/arxiv.2109.10755

Optimal high-dimensional and nonparametric distributed testing under communication constraints

Author(s): Botond Szabó, Lasse Vuursteen, Harry van Zanten
Published in: The Annals of Statistics, Issue 51, 2023, ISSN 0090-5364
Publisher: Institute of Mathematical Statistics
DOI: 10.1214/23-AOS2269

Analyzing Hierarchical Multi-View MRI Data With StaPLR: An Application to Alzheimer's Disease Classification

Author(s): Wouter van Loon; Frank de Vos; Frank de Vos; Frank de Vos; Marjolein Fokkema; Botond Szabo; Botond Szabo; Marisa Koini; Reinhold Schmidt; Mark de Rooij; Mark de Rooij
Published in: Frontiers in Neuroscience, Vol 16 (2022), 2022, ISSN 1662-453X
Publisher: Frontiers in Neuroscience
DOI: 10.48550/arxiv.2108.05761

Optimal Distributed Composite Testing in High-Dimensional Gaussian Models With 1-Bit Communication

Author(s): Botond Szabo, Lasse Vuursteen, Harry Van Zanten
Published in: IEEE Transactions on Information Theory, Issue 68, 2022, ISSN 0018-9448
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/tit.2022.3150599

Early stopping for L2-boosting in high-dimensional linear models

Author(s): Bernhard Stankewitz
Published in: The Annals of Statistics, Issue 52, 2024, ISSN 0090-5364
Publisher: Institute of Mathematical Statistics
DOI: 10.1214/24-AOS2356

Kolyan Ray and Botond Szabo's contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker

Author(s): Kolyan Ray, Botond Szabó
Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology, Issue 85, 2023, ISSN 1369-7412
Publisher: Oxford University Press (OUP)
DOI: 10.1093/jrsssb/qkad098