Bayesian Models and Algorithms for Fairness and Transparency

Project Information

BayesianGDPR

Grant agreement ID: 851538

DOI 10.3030/851538

EC signature date 28 January 2020

Start date 1 April 2020

End date 30 September 2025

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost € 1 443 697,00

EU contribution € 1 443 697,00

Coordinated by

THE UNIVERSITY OF SUSSEX
United Kingdom

Publications

Peer reviewed articles (4)

Preserving the Fairness Guarantees of Classifiers in Changing Environments: a Survey

Author(s): Ainhize Barrainkua, Paula Gordaliza, Jose A. Lozano, Novi Quadrianto
Published in: ACM Computing Surveys, 2023, ISSN 0360-0300
Publisher: Association for Computing Machinary, Inc.
DOI: 10.1145/3637438

Addressing Attribute Bias with Adversarial Support-Matching

Author(s): Thomas Kehrenberg, Myles Bartlett, Viktoriia Sharmanska, Novi Quadrianto
Published in: Transactions on Machine Learning Research, 2024, ISSN 2835-8856
Publisher: OpenReview
DOI: 10.48550/arxiv.2203.13154

A Snapshot of the Frontiers of Client Selection in Federated Learning

Author(s): Gergely Dániel Németh, Miguel Ángel Lozano, Novi Quadrianto, Nuria Oliver
Published in: Transactions on Machine Learning Research, 2022, ISSN 2835-8856
Publisher: OpenReview
DOI: 10.48550/arxiv.2210.04607

Causal Datasheet for Datasets: An Evaluation Guide for Real-World Data Analysis and Data Collection Design Using Bayesian Networks

Author(s): Bradley Butcher, Vincent S. Huang, Christopher Robinson, Jeremy Reffin, Sema K. Sgaier, Grace Charles, Novi Quadrianto
Published in: Frontiers in Artificial Intelligence, Issue 4, 2021, ISSN 2624-8212
Publisher: [Lausanne]: Frontiers Media S.A., [2018]-
DOI: 10.3389/frai.2021.612551

Other (2)

Addressing Membership Inference Attack in Federated Learning with Model Compression

Author(s): Gergely Dániel Németh, Miguel Ángel Lozan, Novi Quadrianto, Nuria Oliver
Published in: 2023
Publisher: arXiv

Contrastive Examples for Addressing the Tyranny of the Majority

Author(s): Sharmanska, Viktoriia; Hendricks, Lisa Anne; Darrell, Trevor; Quadrianto, Novi
Published in: Issue 1, 2020
Publisher: N/A

Conference proceedings (6)

Racial Disparities in the Enforcement of Marijuana Violations in the US

Author(s): Butcher, Bradley; Robinson, Chris; Zilka, Miri; Fogliato, Riccardo; Ashurst, Carolyn; Weller, Adrian
Published in: AIES '22: Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 2022, ISBN 9781450392471
Publisher: Association for Computing Machinery
DOI: 10.1145/3514094.3534184

RealPatch: A Statistical Matching Framework for Model Patching with Real Samples

Author(s): Sara Romiti, Christopher Inskip, Viktoriia Sharmanska, Novi Quadrianto
Published in: Computer Vision – ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XXV, 2022, Page(s) 146–162, ISBN 978-3-031-19805-2
Publisher: Springer-Verlag
DOI: 10.1007/978-3-031-19806-9_9

Null-Sampling for Interpretable and Fair Representations

Author(s): Thomas Kehrenberg, Myles Bartlett, Oliver Thomas, Novi Quadrianto
Published in: Computer Vision – ECCV 2020 - 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXVI, 2020, Page(s) 565-580, ISBN 978-3-030-58573-0
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-58574-7_34

Okapi: Generalising Better by Making Statistical Matches Match

Author(s): Myles Bartlett, Sara Romiti, Viktoriia Sharmanska, Novi Quadrianto
Published in: Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2022
Publisher: Curran Associates, Inc.

An Algorithmic Framework for Positive Action

Author(s): Oliver Thomas, Miri Zilka, Adrian Weller, Novi Quadrianto
Published in: Equity and Access in Algorithms, Mechanisms, and Optimization, 2021, Page(s) 1-13, ISBN 9781450385534
Publisher: ACM
DOI: 10.1145/3465416.3483303

Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results

Author(s): Ainhize Barrainkua, Paula Gordaliza, Jose A. Lozano, Novi Quadrianto
Published in: International Conference on Artificial Intelligence and Statistics, 2024
Publisher: Proceedings of Machine Learning Research
DOI: 10.48550/arxiv.2302.01079

Thesis and dissertations (3)

Semi-supervised methods for distributionally-robust learning

Author(s): Myles Bartlett
Published in: 2023
Publisher: N/A

Fair Representations in the Data Domain

Author(s): Oliver Thomas
Published in: 2022
Publisher: N/A

Statistical Matching for Vision Tasks: Mitigating Spurious Correlations and Out-Of-Distribution Generalization

Author(s): Sara Romiti
Published in: 2023
Publisher: N/A