COP-E-CAT: cleaning and organization pipeline for EHR computational and analytic tasks. - Aishwarya Mandyam; Elizabeth C. Yoo; Jeff Soules; Krzysztof Laudanski; Barbara E. Engelhardt (BCB, 2021)

Nested Policy Reinforcement Learning. - Aishwarya Mandyam; Andrew Jones; Krzysztof Laudanski; Barbara E. Engelhardt (CoRR, 2021)

Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations. - Aishwarya Mandyam; Andrew Jones; Jiayu Yao; Krzysztof Laudanski; Barbara E. Engelhardt (ML4H@NeurIPS, 2023)

Kernel Density Bayesian Inverse Reinforcement Learning. - Aishwarya Mandyam; Didong Li; Diana Cai; Andrew Jones; Barbara E. Engelhardt (CoRR, 2023)

Adaptive Interventions with User-Defined Goals for Health Behavior Change. - Aishwarya Mandyam; Matthew Jörke; Barbara E. Engelhardt; Emma Brunskill (CoRR, 2023)

Adaptive Interventions with User-Defined Goals for Health Behavior Change. - Aishwarya Mandyam; Matthew Jörke; William Denton; Barbara E. Engelhardt; Emma Brunskill (CHIL, 2024)

Machine Learning for Health (ML4H) 2024. - Helen Zhou; Stefan Hegselmann; Elizabeth Healey; Trenton Chang; Caleb Ellington; Michael Leone; Vishwali Mhasawade; Sana Tonekaboni; Winston Chen; Hyewon Jeong; Xiaoxiao Li; Juyeon Heo; et al. (ML4H@NeurIPS, 2024)

CANDOR: Counterfactual ANnotated DOubly Robust Off-Policy Evaluation. - Aishwarya Mandyam; Shengpu Tang; Jiayu Yao; Jenna Wiens; Barbara E. Engelhardt (CoRR, 2024)

KD-BIRL: Kernel Density Bayesian Inverse Reinforcement Learning. - Aishwarya Mandyam; Didong Li; Andrew Jones; Diana Cai; Barbara E. Engelhardt (Trans. Mach. Learn. Res., 2024)

PERRY: Policy Evaluation with Confidence Intervals using Auxiliary Data. - Aishwarya Mandyam; Jason Meng; Ge Gao; Jiankai Sun; Mac Schwager; Barbara E. Engelhardt; Emma Brunskill (CoRR, 2025)