Vishwali Mhasawade

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All published works

Action	Title	Year	Authors
+ PDF Chat	A Causal Perspective on Label Bias	2024	Vishwali Mhasawade Alexander D’Amour Stephen Pfohl
+ PDF Chat	Understanding Disparities in Post Hoc Machine Learning Explanation	2024	Vishwali Mhasawade Md Salman Rahman Zoé Haskell-Craig Rumi Chunara
+ PDF Chat	Disparate Effect Of Missing Mediators On Transportability of Causal Effects	2024	Vishwali Mhasawade Rumi Chunara
+ PDF Chat	Impact on Public Health Decision Making by Utilizing Big Data Without Domain Knowledge	2024	Miao Zhang Salman Rahman Vishwali Mhasawade Rumi Chunara
+ PDF Chat	Understanding Disparities in Post Hoc Machine Learning Explanation	2024	Vishwali Mhasawade Salman Rahman Zoe Haskell-Craig Rumi Chunara
+ PDF Chat	Phase-wise Impact Analysis of the Indian National Lockdown against COVID-19 Outcomes	2022	Vishwali Mhasawade Siddhesh Zadey Aatmika Nair
+	Causal Multi-level Fairness	2021	Vishwali Mhasawade Rumi Chunara
+ PDF Chat	Fairness Violations and Mitigation under Covariate Shift	2021	Harvineet Singh Rina Singh Vishwali Mhasawade Rumi Chunara
+	Causal Multi-Level Fairness	2020	Vishwali Mhasawade Rumi Chunara
+	Machine Learning in Population and Public Health.	2020	Vishwali Mhasawade Yuan Zhao Rumi Chunara
+ PDF Chat	Population-aware hierarchical bayesian domain adaptation via multi-component invariant learning	2020	Vishwali Mhasawade Nabeel Abdur Rehman Rumi Chunara
+	Causal Multi-Level Fairness	2020	Vishwali Mhasawade Rumi Chunara
+	Machine Learning in Population and Public Health	2020	Vishwali Mhasawade Yuan Zhao Rumi Chunara
+	Fair Predictors under Distribution Shift	2019	Harvineet Singh Rina Singh Vishwali Mhasawade Rumi Chunara
+	Neural Networks and Quantifier Conservativity: Does Data Distribution Affect Learnability?	2018	Vishwali Mhasawade Ildikó Emese Szabó Melanie Tosik Sheng‐Fu Wang
+	Population-aware Hierarchical Bayesian Domain Adaptation	2018	Vishwali Mhasawade Nabeel Abdur Rehman Rumi Chunara

Common Coauthors

Coauthor	Papers Together
Rumi Chunara	13
Salman Rahman	2
Rina Singh	2
Nabeel Abdur Rehman	2
Harvineet Singh	2
Melanie Tosik	1
Ildikó Emese Szabó	1
Zoe Haskell-Craig	1
Yuan Zhao	1
Yuan Zhao	1
Alexander D’Amour	1
Siddhesh Zadey	1
Md Salman Rahman	1
Aatmika Nair	1
Miao Zhang	1
Sheng‐Fu Wang	1
Stephen Pfohl	1
Zoé Haskell-Craig	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Fair Inference on Outcomes	2018	Razieh Nabi Ilya Shpitser	4
+ PDF Chat	Path-Specific Counterfactual Fairness	2019	Silvia Chiappa	4
+	Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions	2018	Sara Magliacane Thijs van Ommen Tom Claassen Stephan Bongers Philip Versteeg Joris M. Mooij	3
+ PDF Chat	Transportability of Causal and Statistical Relations: A Formal Approach	2011	Judea Pearl Elias Bareinboim	3
+ PDF Chat	Ethical limitations of algorithmic fairness solutions in health care machine learning	2020	Melissa D. McCradden Shalmali Joshi Mjaye Mazwi James A. Anderson	3
+	Avoiding Discrimination through Causal Reasoning	2017	Niki Kilbertus Mateo Rojas-Carulla Giambattista Parascandolo Moritz Hardt Dominik Janzing Bernhard Schölkopf	3
+	Equality of Opportunity in Classification: A Causal Approach	2018	Junzhe Zhang Elias Bareinboim	3
+	Counterfactual Fairness	2017	Matt J. Kusner Joshua R. Loftus Chris Russell Ricardo Silva	3
+ PDF Chat	Fairness through awareness	2012	Cynthia Dwork Moritz Hardt Toniann Pitassi Omer Reingold Richard S. Zemel	3
+	On the Causal Interpretation of Race in Regressions Adjusting for Confounding and Mediating Variables	2014	Tyler J. VanderWeele Whitney R. Robinson	3
+	Prior sensitivity analysis in default Bayesian structural equation modeling.	2017	Sara van Erp Joris Mulder Daniel L. Oberski	2
+	Convex Point Estimation using Undirected Bayesian Transfer Hierarchies	2012	Gal Elidan Ben Packer Geremy Heitz Daphne Koller	2
+	Frustratingly Easy Domain Adaptation	2009	Hal Daumé	2
+	Joint Causal Inference from Multiple Contexts	2020	Joris M. Mooij Sara Magliacane Tom Claassen	2
+ PDF Chat	Population-aware hierarchical bayesian domain adaptation via multi-component invariant learning	2020	Vishwali Mhasawade Nabeel Abdur Rehman Rumi Chunara	2
+	Fairness with Overlapping Groups	2020	Forest Yang Moustapha Cissé Sanmi Koyejo	2
+ PDF Chat	A Rapidly Convergent Descent Method for Minimization	1963	R. Fletcher M. J. D. Powell	2
+ PDF Chat	Algorithmic Decision Making and the Cost of Fairness	2017	Sam Corbett‐Davies Emma Pierson Avi Feller Sharad Goel Aziz Z. Huq	2
+	Empirical Risk Minimization Under Fairness Constraints	2018	Michele Donini Luca Oneto Shai Ben-David John Shawe‐Taylor Massimiliano Pontil	2
+	PC-Fairness: A Unified Framework for Measuring Causality-based Fairness	2019	Yongkai Wu Lu Zhang Xintao Wu Hanghang Tong	2
+ PDF Chat	Fairness in Criminal Justice Risk Assessments: The State of the Art	2018	Richard A. Berk Hoda Heidari Shahin Jabbari Michael Kearns Aaron Roth	2
+ PDF Chat	On the apparent conflict between individual and group fairness	2020	Reuben Binns	2
+ PDF Chat	An Intersectional Definition of Fairness	2020	James Foulds Rashidul Islam Kamrun Naher Keya Shimei Pan	2
+ PDF Chat	Fairness in Risk Assessment Instruments: Post-Processing to Achieve Counterfactual Equalized Odds	2020	Alan Mishler Edward H. Kennedy	2
+	Fairness in Risk Assessment Instruments	2021	Alan Mishler Edward H. Kennedy Alexandra Chouldechova	2
+	Causal Multi-level Fairness	2021	Vishwali Mhasawade Rumi Chunara	2
+	Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport	2018	Adarsh Subbaswamy Peter Schulam Suchi Saria	2
+	Towards a critical race methodology in algorithmic fairness	2020	Alex Hanna Emily Denton Andrew Smart Jamila Smith-Loud	2
+	A general identification condition for causal effects	2002	Jin Tian Judea Pearl	2
+	Identifying causal effects with proxy variables of an unmeasured confounder	2018	Wang Miao Zhi Geng Eric J. Tchetgen Tchetgen	2
+	Deracializing Social Statistics: Problems in the Quantification of Race	2000	Tukufu Zuberi	2
+	Bayesian Methods for Data-Dependent Priors	2011	William Francis Darnieder	2
+	Bayes and Empirical Bayes Methods for Data Analysis	2001	Bradley P. Carlin Thomas A. Louis	2
+ PDF Chat	Exposing the probabilistic causal structure of discrimination	2017	Francesco Bonchi Sara Hajian Bud Mishra Daniele Ramazzotti	2
+ PDF Chat	Multilevel (Hierarchical) Modeling: What It Can and Cannot Do	2006	Andrew Gelman	2
+	Domain Adaptation for Infection Prediction from Symptoms Based on Data from Different Study Designs and Contexts	2018	Nabeel Abdur Rehman Maxwell Aliapoulios Disha Umarwani Rumi Chunara	2
+	On the (im)possibility of fairness	2016	Sorelle A. Friedler Carlos Scheidegger Suresh Venkatasubramanian	2
+	Counterfactual Normalization: Proactively Addressing Dataset Shift Using Causal Mechanisms.	2018	Adarsh Subbaswamy Suchi Saria	2
+	Equality of Opportunity in Supervised Learning	2016	Moritz Hardt Eric Price Nathan Srebro	2
+	Causal intersectionality for fair ranking	2020	Ke Yang Joshua R. Loftus Julia Stoyanovich	2
+	Related Causal Frameworks for Surrogate Outcomes	2008	Marshall M. Joffe Tom Greene	1
+	Counterfactual Graphical Models for Longitudinal Mediation Analysis With Unobserved Confounding	2013	Ilya Shpitser	1
+ PDF Chat	Principal Stratification in Causal Inference	2002	Constantine Frangakis Donald B. Rubin	1
+	The Evaluation of Multiple Surrogate Endpoints	2001	Jane Xu Scott L. Zeger	1
+ PDF Chat	Bringing context back into epidemiology: variables and fallacies in multilevel analysis.	1998	Ana V. Diez‐Roux	1
+ PDF Chat	Domain-Adversarial Training of Neural Networks	2017	Yaroslav Ganin Evgeniya Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette Mario Marchand Victor Lempitsky	1
+ PDF Chat	The global distribution and burden of dengue	2013	Samir Bhatt Peter W. Gething Oliver J. Brady Jane P. Messina Andrew Farlow Catherine L. Moyes John M. Drake John S. Brownstein Anne G. Hoen Osman Sankoh	1
+ PDF Chat	The Causal Mediation Formula—A Guide to the Assessment of Pathways and Mechanisms	2012	Judea Pearl	1
+	Bayes and Empirical Bayes Methods for Data Analysis	1997	Andrew L. Rukhin	1
+ PDF Chat	Causal Inference by using Invariant Prediction: Identification and Confidence Intervals	2016	Jonas Peters Peter Bühlmann Nicolai Meinshausen	1