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Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making



Miriam Rateike , Ayan Majumdar , Olga Mineeva , Krishna P. Gummadi , Isabel Valera


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Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction



Gourab K. Patro , Prithwish Jana , Abhijnan Chakraborty , Krishna P. Gummadi , Niloy Ganguly

* In proceedings of the Thirty-first Web Conference (WWW-2022). arXiv admin note: text overlap with arXiv:2010.14624 

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FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms



Abhisek Dash , Abhijnan Chakraborty , Saptarshi Ghosh , Animesh Mukherjee , Krishna P. Gummadi

* This work has been accepted as a regular paper in IEEE Transactions on Computational Social Systems 2022 (IEEE TCSS'22) 

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Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers



Abhisek Dash , Abhijnan Chakraborty , Saptarshi Ghosh , Animesh Mukherjee , Krishna P. Gummadi

* This work has been accepted at The Web Conference 2022 (WWW'22) 

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Towards Fair Recommendation in Two-Sided Platforms



Arpita Biswas , Gourab K Patro , Niloy Ganguly , Krishna P. Gummadi , Abhijnan Chakraborty

* ACM Transactions on the Web, Volume 16, Issue 2 May 2022, Article no 8. arXiv admin note: substantial text overlap with arXiv:2002.10764 

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On Fair Selection in the Presence of Implicit and Differential Variance



Vitalii Emelianov , Nicolas Gast , Krishna P. Gummadi , Patrick Loiseau

* Accepted for publication in the Artificial Intelligence Journal. This paper is an extended version of our paper arXiv:2006.13699: we added a Bayesian-optimal baseline (in addition to the group-oblivious baseline) and generalized the model by assuming a group-dependent distribution of quality and an implicit bias; but we removed the part on two-stage selection 

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Exploring Alignment of Representations with Human Perception



Vedant Nanda , Ayan Majumdar , Camila Kolling , John P. Dickerson , Krishna P. Gummadi , Bradley C. Love , Adrian Weller

* 16 pages 

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Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning



Preethi Lahoti , Krishna P. Gummadi , Gerhard Weikum

* To appear in the 21st IEEE International Conference on Data Mining (ICDM 2021), Auckland, New Zealand 

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Loss-Aversively Fair Classification



Junaid Ali , Muhammad Bilal Zafar , Adish Singla , Krishna P. Gummadi

* In AAAI/ACM Conference on AI, Ethics, and Society (AIES 2019), January 27-28 2019 Honolulu, HI, USA 
* 8 pages, Accepted at AIES 2019 

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Accounting for Model Uncertainty in Algorithmic Discrimination



Junaid Ali , Preethi Lahoti , Krishna P. Gummadi

* 12 pages, Accepted at AIES 2021 

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