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Posts by Collection
portfolio
Portfolio item number 2
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publications
Counterfactual Explanations for Visual Recommender Systems
A novel method to counterfactually explain recommendations from visual recommender systems.
Neham Jain, Vibhhu Sharma*, and Gaurav Sinha
Published at WWW ‘24: Companion Proceedings of the ACM Web Conference 2024 [Paper]
A Unified Causal Framework for Auditing Recommender Systems for Ethical Concerns
Introducing a unified framework for auditing recommender systems from a causal lens and providing a general recipe for defining auditing metrics.
Vibhhu Sharma*, Shantanu Gupta, Nil-Jana Akpinar, Zachary Lipton, Liu Leqi
Presented at the FAccTRec Workshop at RecSys 2024 [Preprint]
Accounting for Missing Covariates in Heterogeneous Treatment Estimation
A novel statistical methodology to estimate heterogeneous treatment effects when generalizing from study populations to target populations with previously unobserved covariates.
Khurram Yamin, Vibhhu Sharma, Ed Kennedy, Bryan Wilder
Under Review [Preprint]
Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources
Conducted a comprehensive comparison between risk-based targeting and biased treatment effect-based targeting as common targeting strategies used by policymakers to determine who to treat under a fixed budget in real world settings.
Vibhhu Sharma*, Bryan Wilder
Under Review [Preprint]
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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