Vishwali Mhasawade

22 papers C 2Journal 12Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Disparate Effect Of Missing Mediators On Transportability of Causal Effects. CLeaR Vishwali Mhasawade, Rumi Chunara
2025	J	`jnl`	Machine Learning for Health symposium 2024 - Findings track. CoRR Stefan Hegselmann, Helen Zhou, Elizabeth Healey, Trenton Chang, Caleb Ellington, Vishwali Mhasawade, Sana Tonekaboni, Peniel N. Argaw, Haoran Zhang
2025	J	`jnl`	Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness. CoRR 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, Katherine A. Heller, Sanmi Koyejo, Alexander D'Amour
2024	—	`conf`	A Causal Perspective on Label Bias. FAccT Vishwali Mhasawade, Alexander D'Amour, Stephen R. Pfohl
2024	J	`jnl`	Disparate Effect Of Missing Mediators On Transportability of Causal Effects. CoRR Vishwali Mhasawade, Rumi Chunara
2024	J	`jnl`	Impact on Public Health Decision Making by Utilizing Big Data Without Domain Knowledge. CoRR Miao Zhang, Salman Rahman, Vishwali Mhasawade, Rumi Chunara
2024	—	`conf`	Machine Learning for Health (ML4H) 2024. ML4H@NeurIPS Helen Zhou, Stefan Hegselmann, Elizabeth Healey, Trenton Chang, Caleb Ellington, Michael Leone, Vishwali Mhasawade, Sana Tonekaboni, Winston Chen, Hyewon Jeong, Xiaoxiao Li, Juyeon Heo, Payal Chandak, Ayush Noori, Sarah Jabbour, Jessica Dafflon, Jerry Ji, Jivat Neet Kaur, Amin Adibi, Xu Cao, Meera Krishnamoorthy, Yidi Huang, Fabian Gröger, Aishwarya Mandyam, Niloufar Saharhkhiz, Teya S. Bergamaschi, William Boag, Jeroen Berrevoets, Matthew Lee, Kyle Heuton, Peniel N. Argaw, Haoran Zhang
2024	—	`ed.`	Machine Learning for Health, ML4H@NeurIPS 2024, Vancouver, Canada, 15-16 December 2024. ML4H@NeurIPS Stefan Hegselmann, Helen Zhou, Elizabeth Healey, Trenton Chang, Caleb Ellington, Vishwali Mhasawade, Sana Tonekaboni, Peniel N. Argaw, Haoran Zhang
2024	—	`conf`	Understanding Disparities in Post Hoc Machine Learning Explanation. FAccT Vishwali Mhasawade, Salman Rahman, Zoé Haskell-Craig, Rumi Chunara
2024	J	`jnl`	Understanding Disparities in Post Hoc Machine Learning Explanation. CoRR Vishwali Mhasawade, Salman Rahman, Zoe Haskell-Craig, Rumi Chunara
2023	C	`conf`	Advancing Health Equity with Machine Learning. AIES Vishwali Mhasawade
2023	—	`conf`	Machine Learning for Health (ML4H) 2023. ML4H@NeurIPS Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Kristen Severson, Mercy Nyamewaa Asiedu, Serina Chang, Bonaventure F. P. Dossou, Qian Huang, Fahad Kamran, Haoran Zhang, Sujay Nagaraj, Luis Oala, Shan Xu, Chinasa T. Okolo, Helen Zhou, Jessica Dafflon, Caleb Ellington, Sarah Jabbour, Hyewon Jeong, Harry Reyes Nieva, Yuzhe Yang, Ghada Zamzmi, Vishwali Mhasawade, Van Truong, Payal Chandak, Matthew Lee, Peniel N. Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen
2021	C	`conf`	Causal Multi-level Fairness. AIES Vishwali Mhasawade, Rumi Chunara
2021	—	`conf`	Fairness Violations and Mitigation under Covariate Shift. FAccT Harvineet Singh, Rina Singh, Vishwali Mhasawade, Rumi Chunara
2021	J	`jnl`	Machine learning and algorithmic fairness in public and population health. Nat. Mach. Intell. Vishwali Mhasawade, Yuan Zhao, Rumi Chunara
2020	J	`jnl`	Causal Multi-Level Fairness. CoRR Vishwali Mhasawade, Rumi Chunara
2020	J	`jnl`	Machine Learning in Population and Public Health. CoRR Vishwali Mhasawade, Yuan Zhao, Rumi Chunara
2020	—	`conf`	Population-aware hierarchical bayesian domain adaptation via multi-component invariant learning. CHIL Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara
2019	J	`jnl`	Fair Predictors under Distribution Shift. CoRR Harvineet Singh, Rina Singh, Vishwali Mhasawade, Rumi Chunara
2019	J	`jnl`	Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning. CoRR Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara
2018	J	`jnl`	Neural Networks and Quantifier Conservativity: Does Data Distribution Affect Learnability? CoRR Vishwali Mhasawade, Ildikó Emese Szabó, Melanie Tosik, Sheng-Fu Wang
2018	J	`jnl`	Population-aware Hierarchical Bayesian Domain Adaptation. CoRR Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara