Chasalow, Kyla, Eitan Hersh, Kosuke Imai, and Laura Royden. 2026. Improving Minority Population Sampling with BISG Probabilities: Evidence from a Survey of Jewish Americans. arXiv preprint arXiv:2605.05384.
Chasalow, Kyla, Skyler Wu, and Susan Murphy. 2025. Missing Data Multiple Imputation for Tabular Q-Learning in Online RL. arXiv preprint arXiv:2510.10709.
Kyla Chasalow and Karen Levy. 2021. Representativeness in Statistics, Politics, and Machine Learning. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT '21). Association for Computing Machinery, New York, NY, USA, 77–89. https://doi.org/10.1145/3442188.3445872
Karen Levy, Kyla E. Chasalow, and Sarah Riley. (2021). "Algorithms and Decision-Making in the Public Sector." Annual Review of Law and Social Science, 17(1), 309–334. https://doi.org/10.1146/annurev-lawsocsci-041221-023808
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA