Salaudeen, Olawale Elijah

8 publications

NeurIPS 2025 Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations Olawale Elijah Salaudeen, Haoran Zhang, Kumail Alhamoud, Sara Beery, Marzyeh Ghassemi

TMLR 2025 Are Domain Generalization Benchmarks with Accuracy on the Line Misspecified? Olawale Elijah Salaudeen, Nicole Chiou, Shiny Weng, Sanmi Koyejo

TMLR 2025 Improving Single-Round Active Adaptation: A Prediction Variability Perspective Xiaoyang Wang, Yibo Jacky Zhang, Olawale Elijah Salaudeen, Mingyuan Wu, Hongpeng Guo, Chaoyang He, Klara Nahrstedt, Sanmi Koyejo

NeurIPS 2025 On Group Sufficiency Under Label Bias Haoran Zhang, Olawale Elijah Salaudeen, Marzyeh Ghassemi

NeurIPS 2025 Understanding Challenges to the Interpretation of Disaggregated Evaluations of Algorithmic Fairness Stephen R Pfohl, Natalie Harris, Chirag Nagpal, David Madras, Vishwali Mhasawade, Olawale Elijah Salaudeen, Awa Dieng, Shannon Sequeira, Santiago Eduardo Arciniegas, Lillian Sung, Nnamdi Peter Okechukwu Ezeanochie, Heather Cole-Lewis, Katherine A Heller, Sanmi Koyejo, Alexander Nicholas D'Amour

NeurIPSW 2024 On Domain Generalization Datasets as Proxy Benchmarks for Causal Representation Learning Olawale Elijah Salaudeen, Nicole Chiou, Sanmi Koyejo

NeurIPSW 2023 Understanding Subgroup Performance Differences of Fair Predictors Using Causal Models Stephen Robert Pfohl, Natalie Harris, Chirag Nagpal, David Madras, Vishwali Mhasawade, Olawale Elijah Salaudeen, Katherine A Heller, Sanmi Koyejo, Alexander Nicholas D'Amour

NeurIPSW 2021 Exploiting Causal Chains for Domain Generalization Olawale Elijah Salaudeen, Oluwasanmi O Koyejo