Vishwali Mhasawade

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Causal Relationships

Causal Inferences

Domain Adaptation

Top Venues

Nat. Mach. Intell.

Publications

Vishwali Mhasawade, Salman Rahman, Zoe Haskell-Craig, Rumi Chunara
Understanding Disparities in Post Hoc Machine Learning Explanation. CoRR (2024)
Vishwali Mhasawade, Salman Rahman, Zoé Haskell-Craig, Rumi Chunara
Understanding Disparities in Post Hoc Machine Learning Explanation. FAccT (2024)
Vishwali Mhasawade, Rumi Chunara
Disparate Effect Of Missing Mediators On Transportability of Causal Effects. CoRR (2024)
Vishwali Mhasawade, Alexander D'Amour, Stephen R. Pfohl
A Causal Perspective on Label Bias. FAccT (2024)
Miao Zhang, Salman Rahman, Vishwali Mhasawade, Rumi Chunara
Impact on Public Health Decision Making by Utilizing Big Data Without Domain Knowledge. CoRR (2024)
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 Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen
Machine Learning for Health (ML4H) 2023. ML4H@NeurIPS (2023)
Vishwali Mhasawade
Advancing Health Equity with Machine Learning. AIES (2023)
Vishwali Mhasawade, Rumi Chunara
Causal Multi-level Fairness. AIES (2021)
Vishwali Mhasawade, Yuan Zhao, Rumi Chunara
Machine learning and algorithmic fairness in public and population health. Nat. Mach. Intell. 3 (8) (2021)
Harvineet Singh, Rina Singh, Vishwali Mhasawade, Rumi Chunara
Fairness Violations and Mitigation under Covariate Shift. FAccT (2021)
Vishwali Mhasawade, Yuan Zhao, Rumi Chunara
Machine Learning in Population and Public Health. CoRR (2020)
Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara
Population-aware hierarchical bayesian domain adaptation via multi-component invariant learning. CHIL (2020)
Vishwali Mhasawade, Rumi Chunara
Causal Multi-Level Fairness. CoRR (2020)
Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara
Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning. CoRR (2019)
Harvineet Singh, Rina Singh, Vishwali Mhasawade, Rumi Chunara
Fair Predictors under Distribution Shift. CoRR (2019)
Vishwali Mhasawade, Ildikó Emese Szabó, Melanie Tosik, Sheng-Fu Wang
Neural Networks and Quantifier Conservativity: Does Data Distribution Affect Learnability? CoRR (2018)
Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara
Population-aware Hierarchical Bayesian Domain Adaptation. CoRR (2018)