Vishwali Mhasawade

According to our database, Vishwali Mhasawade authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Disparate Effect Of Missing Mediators On Transportability of Causal Effects.

Vishwali Mhasawade, Rumi Chunara

CoRR, 2024

Impact on Public Health Decision Making by Utilizing Big Data Without Domain Knowledge.

Miao Zhang, Salman Rahman, Vishwali Mhasawade, Rumi Chunara

CoRR, 2024

Understanding Disparities in Post Hoc Machine Learning Explanation.

Vishwali Mhasawade, Salman Rahman, Zoé Haskell-Craig, Rumi Chunara

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

A Causal Perspective on Label Bias.

Vishwali Mhasawade, Alexander D'Amour, Stephen R. Pfohl

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

Machine Learning for Health (ML4H) 2023.

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

Proceedings of the Machine Learning for Health, 2023

Advancing Health Equity with Machine Learning.

Vishwali Mhasawade

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2021

Machine learning and algorithmic fairness in public and population health.

Vishwali Mhasawade, Yuan Zhao, Rumi Chunara

Nat. Mach. Intell., 2021

Fairness Violations and Mitigation under Covariate Shift.

Harvineet Singh, Rina Singh, Vishwali Mhasawade, Rumi Chunara

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Causal Multi-level Fairness.

Vishwali Mhasawade, Rumi Chunara

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Machine Learning in Population and Public Health.

Vishwali Mhasawade, Yuan Zhao, Rumi Chunara

CoRR, 2020

Population-aware hierarchical bayesian domain adaptation via multi-component invariant learning.

Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara

Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2019

Fair Predictors under Distribution Shift.

Harvineet Singh, Rina Singh, Vishwali Mhasawade, Rumi Chunara

CoRR, 2019

Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning.

Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara

CoRR, 2019

2018

Population-aware Hierarchical Bayesian Domain Adaptation.

Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara

CoRR, 2018

Neural Networks and Quantifier Conservativity: Does Data Distribution Affect Learnability?

Vishwali Mhasawade, Ildikó Emese Szabó, Melanie Tosik, Sheng-Fu Wang

CoRR, 2018