activity
20182020
most citedMachine Learning in Population and Public Health

1 citations · 1 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CY20201 cited

Machine Learning in Population and Public Health

Vishwali Mhasawade, Yuan Zhao, Rumi Chunara

Research in population and public health focuses on the mechanisms between different cultural, social, and environmental factors and their effect on the health, of not just individ…

cs.LG2019

Fairness Violations and Mitigation under Covariate Shift

Harvineet Singh, Rina Singh, Vishwali Mhasawade +1

We study the problem of learning fair prediction models for unseen test sets distributed differently from the train set. Stability against changes in data distribution is an import…

stat.ML2019

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

Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara

While machine learning is rapidly being developed and deployed in health settings such as influenza prediction, there are critical challenges in using data from one environment in…

stat.ML2018

Population-aware Hierarchical Bayesian Domain Adaptation

Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara

Population attributes are essential in health for understanding who the data represents and precision medicine efforts. Even within disease infection labels, patients can exhibit s…

cs.CL2018

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

Vishwali Mhasawade, Ildikó Emese Szabó, Melanie Tosik +1

All known natural language determiners are conservative. Psycholinguistic experiments indicate that children exhibit a corresponding learnability bias when faced with the task of l…