Additional Campus Affiliations
Adjunct Associate Professor, Computer Science
Recent Publications
Alabdulmohsin, I., Chiou, N., D'Amour, A., Gretton, A., Koyejo, S., Kusner, M. J., Pfohl, S. R., Salaudeen, O., Schrouff, J., & Tsai, K. (2023). Adapting to Latent Subgroup Shifts via Concepts and Proxies. Proceedings of Machine Learning Research, 206, 9637-9661.
Cisneros-Velarde, P., & Koyejo, S. (2023). Finite-sample Guarantees for Nash Q-learning with Linear Function Approximation. Proceedings of Machine Learning Research, 216, 424-432.
Cisneros-Velarde, P., Lyu, B., Koyejo, S., & Kolar, M. (2023). One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning. Proceedings of Machine Learning Research, 206, 1965-2001.
Drukker, K., Chen, W., Gichoya, J., Gruszauskas, N., Kalpathy-Cramer, J., Koyejo, S., Myers, K., Sá, R. C., Sahiner, B., Whitney, H., Zhang, Z., & Giger, M. (2023). Toward fairness in artificial intelligence for medical image analysis: Identification and mitigation of potential biases in the roadmap from data collection to model deployment. Journal of Medical Imaging, 10(6), Article 061104. https://doi.org/10.1117/1.JMI.10.6.061104
Lyu, B., Feng, Z., Robertson, Z., & Koyejo, S. (2023). Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions. Proceedings of Machine Learning Research, 202, 23239-23263.