Papers
Papers
* denotes equal contribution
α-β denotes alphabetical order
External Links: Google Scholar
📄 = Paper; 🖥️ = Code; 📋 = poster.
Are Domain Generalization Benchmarks with Accuracy on the Line Misspecified? 📄 🖥️
Olawale Salaudeen, Nicole Chiou, Shiny Weng, Sanmi Koyejo
In Review
What’s in a Query: Polarity-aware Distribution-based Fair Ranking 📄
Aparna Balagopalan, Kai Wang, Olawale Salaudeen, Asia Biega, Marzyeh Ghassemi
The International World Wide Web Conference (WWW), 2025
On Domain Generalization Datasets as Proxy Benchmarks for Causal Representation Learning (Oral Presentation) 📄
Olawale Salaudeen, Nicole Chiou, Sanmi Koyejo
Workshop on Causal Representation Learning, Conference on Neural Information Processing Systems (NeurIPS), 2024
Enhancing fMRI Motion Denoising with ICA-AROMA and Causal Discovery 🖥️
Olawale Salaudeen, Paul Camacho, Aron Barbey, Brad Sutton, Sanmi Koyejo
In Review
Katherine Tsai, Stephen R. Pfohl, Olawale Salaudeen, Nicole Chiou, Matt J. Kusner, Alexander D'Amour, Sanmi Koyejo, Arthur Gretton
The International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Olawale Salaudeen, Oluwasanmi Koyejo
The International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Olawale Salaudeen, Moritz Hardt
In Review
α-β. Alabdulmohsin* et al. (incl. Olawale Salaudeen*)
The International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Understanding subgroup performance differences of fair predictors using causal models 📄
Pfohl et al. (incl. Olawale Salaudeen)
Workshop on Distribution Shifts (DistShift), Conference on Neural Information Processing Systems (NeurIPS), 2023.
Adapting to Shifts in Latent Confounders using Observed Concepts and Proxies 📄
Kusner et al. (incl. Olawale Salaudeen)
Workshop on Principles of Distribution Shift (PODS), International Conference on Machine Learning (ICML), 2022.
Addressing Observational Biases in Algorithmic Fairness Assessments 📋
Chirag Nagpal, Olawale Salaudeen, Sanmi Koyejo, Stephen Pfohl
Workshop on Algorithmic Fairness through the Lens of Causality and Privacy, Conference on Neural Information Processing Systems (NeurIPS), 2022 (extended abstract).
Ultra-fast 3D fMRI to explore cardiac-induced fluctuations in BOLD-based functional imaging 📄
Sutton et al. (incl. Olawale Salaudeen)
International Society for Magnetic Resonance in Medicine (ISMRM), 2022 (abstract)
Exploiting Causal Chains for Domain Generalization 📄
Olawale Salaudeen, Oluwasanmi Koyejo
Workshop on Distribution Shifts (DistShift), Conference on Neural Information Processing Systems (NeurIPS), 2021.