Gourab K. Patro

According to our database1, Gourab K. Patro authored at least 17 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
A Review of the Role of Causality in Developing Trustworthy AI Systems.
CoRR, 2023

2022
Toward Fair Recommendation in Two-sided Platforms.
ACM Trans. Web, 2022

Fairness implications of encoding protected categorical attributes.
CoRR, 2022

Towards Fair Recommendation in Two-Sided Platforms.
CoRR, 2022

Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Fair ranking: a critical review, challenges, and future directions.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Two-Sided Fairness in Non-Personalised Recommendations (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Two-Sided Fairness in Non-Personalised Recommendations.
CoRR, 2020

On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction.
CoRR, 2020

FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Fair Updates in Two-Sided Market Platforms: On Incrementally Updating Recommendations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly.
CoRR, 2019

Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019


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