Miriam Rateike

16 papers A* 1Journal 6Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Localizing Persona Representations in LLMs.
CoRR
Celia Cintas, Miriam Rateike, Erik Miehling, Elizabeth Daly, Skyler Speakman
2025 — conf
Robustness and Cybersecurity in the EU Artificial Intelligence Act.
FAccT
Henrik Nolte, Miriam Rateike, Michèle Finck
2025 J jnl
Robustness and Cybersecurity in the EU Artificial Intelligence Act.
CoRR
Henrik Nolte, Miriam Rateike, Michèle Finck
2024 — conf
Algorithmic Fairness Through the Lens of Metrics and Evaluation (AFME) 2024.
AFME
Miriam Rateike, Awa Dieng, Jamelle Watson-Daniels, Ferdinando Fioretto, Golnoosh Farnadi
2024 — conf
Designing Long-term Group Fair Policies in Dynamical Systems.
FAccT
Miriam Rateike, Isabel Valera, Patrick Forré
2024 — ed.
Proceedings of the Workshop on Algorithmic Fairness Through the Lens of Metrics and Evaluation, 14 December 2024, Vancouver Convention Center, Vancouver, Canada
AFME
Miriam Rateike, Awa Dieng, Jamelle Watson-Daniels, Ferdinando Fioretto, Golnoosh Farnadi
2023 J jnl
Designing Long-term Group Fair Policies in Dynamical Systems.
CoRR
Miriam Rateike, Isabel Valera, Patrick Forré
2023 J jnl
Weakly Supervised Detection of Hallucinations in LLM Activations.
CoRR
Miriam Rateike, Celia Cintas, John Wamburu, Tanya Akumu, Skyler Speakman
2022 — conf
Algorithmic Fairness through the Lens of Causality and Privacy (AFCP) 2022.
AFCP
Awa Dieng, Miriam Rateike, Golnoosh Farnadi, Ferdinando Fioretto, Matt J. Kusner, Jessica Schrouff
2022 — ed.
Algorithmic Fairness through the Lens of Causality and Privacy Workshop, AFCP 2022, New Orleans, LA, USA (hybrid), 03 December 2022
AFCP
Awa Dieng, Miriam Rateike, Golnoosh Farnadi, Ferdinando Fioretto, Matt J. Kusner, Jessica Schrouff
2022 — conf
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making.
FAccT
Miriam Rateike, Ayan Majumdar, Olga Mineeva, Krishna P. Gummadi, Isabel Valera
2022 J jnl
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making.
CoRR
Miriam Rateike, Ayan Majumdar, Olga Mineeva, Krishna P. Gummadi, Isabel Valera
2022 A* conf
VACA: Designing Variational Graph Autoencoders for Causal Queries.
AAAI
Pablo Sánchez-Martín, Miriam Rateike, Isabel Valera
2021 — conf
Algorithmic Fairness through the Lens of Causality and Robustness (AFCR) 2021.
AFCR
Jessica Schrouff, Awa Dieng, Miriam Rateike, Kweku Kwegyir-Aggrey, Golnoosh Farnadi
2021 — ed.
Algorithmic Fairness through the Lens of Causality and Robustness Workshop, AFCR 2021, virtual, December 13, 2021.
AFCR
Jessica Schrouff, Awa Dieng, Miriam Rateike, Kweku Kwegyir-Aggrey, Golnoosh Farnadi
2021 J jnl
VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries.
CoRR
Pablo Sánchez-Martín, Miriam Rateike, Isabel Valera