Neural Networks and Quantifier Conservativity: Does Data Distribution Affect Learnability? - Vishwali Mhasawade; Ildikó Emese Szabó; Melanie Tosik; Sheng-Fu Wang (CoRR, 2018)

Population-aware Hierarchical Bayesian Domain Adaptation. - Vishwali Mhasawade; Nabeel Abdur Rehman; Rumi Chunara (CoRR, 2018)

Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning. - Vishwali Mhasawade; Nabeel Abdur Rehman; Rumi Chunara (CoRR, 2019)

Fair Predictors under Distribution Shift. - Harvineet Singh; Rina Singh; Vishwali Mhasawade; Rumi Chunara (CoRR, 2019)

Population-aware hierarchical bayesian domain adaptation via multi-component invariant learning. - Vishwali Mhasawade; Nabeel Abdur Rehman; Rumi Chunara (CHIL, 2020)

Machine Learning in Population and Public Health. - Vishwali Mhasawade; Yuan Zhao; Rumi Chunara (CoRR, 2020)

Causal Multi-level Fairness. - Vishwali Mhasawade; Rumi Chunara (AIES, 2021)

Fairness Violations and Mitigation under Covariate Shift. - Harvineet Singh; Rina Singh; Vishwali Mhasawade; Rumi Chunara (FAccT, 2021)

Machine learning and algorithmic fairness in public and population health. - Vishwali Mhasawade; Yuan Zhao; Rumi Chunara (Nat. Mach. Intell., 2021)

Advancing Health Equity with Machine Learning. - Vishwali Mhasawade (AIES, 2023)

Machine Learning for Health (ML4H) 2023. - Stefan Hegselmann; Antonio Parziale; Divya Shanmugam; Shengpu Tang; Kristen Severson 001; Mercy Nyamewaa Asiedu; Serina Chang; Bonaventure F. P. Dossou; Qian Huang; Fahad Kamran; Haoran Zhang 003; Sujay Nagaraj; et al. (ML4H@NeurIPS, 2023)

A Causal Perspective on Label Bias. - Vishwali Mhasawade; Alexander D'Amour; Stephen R. Pfohl (FAccT, 2024)

Understanding Disparities in Post Hoc Machine Learning Explanation. - Vishwali Mhasawade; Salman Rahman; Zoé Haskell-Craig; Rumi Chunara (FAccT, 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)

Impact on Public Health Decision Making by Utilizing Big Data Without Domain Knowledge. - Miao Zhang; Salman Rahman; Vishwali Mhasawade; Rumi Chunara (CoRR, 2024)

Disparate Effect Of Missing Mediators On Transportability of Causal Effects. - Vishwali Mhasawade; Rumi Chunara (CLeaR, 2025)

Machine Learning for Health symposium 2024 - Findings track. - Stefan Hegselmann; Helen Zhou; Elizabeth Healey; Trenton Chang; Caleb Ellington; Vishwali Mhasawade; Sana Tonekaboni; Peniel N. Argaw; Haoran Zhang 003 (CoRR, 2025)

Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness. - Stephen R. Pfohl; Natalie Harris; Chirag Nagpal; David Madras; Vishwali Mhasawade; Olawale Salaudeen; Awa Dieng; Shannon Sequeira; Santiago Eduardo Arciniegas; Lillian Sung; Nnamdi Ezeanochie; Heather Cole-Lewis; et al. (CoRR, 2025)