Publications:

• Kanrar, R., Jiang, F., Cai, Z. (2025) Model-free Change-point Detection using AUC of a Classifier. Journal of Machine Learning Research {arXiv/Github/Journal}
• King, A., Liao, Y., Chen, T., Kanrar, R., Chunara, R., Margolin, D., Nettleton, D., Niederdeppe, J. (2026) Testing the effects of segmented crowdsource-selected messages to improve intentions to follow colorectal cancer screening recommendations: Study protocol for a randomized controlled trial. BMC Public Health {Journal}

Preprint:

• Kanrar, R., Li, C., Ghodsi, Z., Gamalo, M. (2025+) Risk-inclusive Contextual Bandits for Early Phase Clinical Trials. Revision submitted (Round 2) {arXiv/Github/Poster}

Working Papers:

• Kanrar, R., Chen, T., Jiang, M., Nettleton, D., King, A., Niederdeppe, J. (2026+) Bayesian Mixed Preference Learning with an Application to Ranking Messages in a Crowd-sourced Wiki-survey.
• Kanrar, R., Nettleton, D. (2026+) Online Inference and Selection of Subject-specific and Item-specific Covariates for Item Preference Ranking.
• Kanrar, R., Swayne, Z., Nettleton, D. (2026+) Bayesian Semi-parametric Inference for Predicting Time Between Fouls for WNBA Players.
• Kim, K., Chen, G., Kanrar, R., Yang, T., Li, C. (2026+) Learning Plausible Causal Effects using Black-box Models with Confidence.