Gourab K Patro | DeepAI

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∙ 02/14/2023

A Review of the Role of Causality in Developing Trustworthy AI Systems

State-of-the-art AI models largely lack an understanding of the cause-ef...

0 Niloy Ganguly, et al. ∙

∙ 06/08/2022

Fairness in Agreement With European Values: An Interdisciplinary Perspective on AI Regulation

With increasing digitalization, Artificial Intelligence (AI) is becoming...

0 Alejandra Bringas Colmenarejo, et al. ∙

∙ 04/26/2022

Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction

Recently, almost all conferences have moved to virtual mode due to the p...

13 Gourab K Patro, et al. ∙

∙ 01/29/2022

Fair ranking: a critical review, challenges, and future directions

Ranking, recommendation, and retrieval systems are widely used in online...

1 Gourab K Patro, et al. ∙

∙ 01/27/2022

Fairness implications of encoding protected categorical attributes

Protected attributes are often presented as categorical features that ne...

5 Carlos Mougan, et al. ∙

∙ 12/26/2021

Towards Fair Recommendation in Two-Sided Platforms

Many online platforms today (such as Amazon, Netflix, Spotify, LinkedIn,...

0 Arpita Biswas, et al. ∙

∙ 11/14/2020

Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval

The proliferation of smartphones has led to the increased popularity of ...

0 Ashmi Banerjee, et al. ∙

∙ 11/10/2020

Two-Sided Fairness in Non-Personalised Recommendations

Recommender systems are one of the most widely used services on several ...

8 Aadi Swadipto Mondal, et al. ∙

∙ 10/24/2020

On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction

The (COVID-19) pandemic-induced restrictions on travel and social gather...

12 Gourab K Patro, et al. ∙

∙ 10/12/2020

Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness

Decision-making systems increasingly orchestrate our world: how to inter...

9 Jessie Finocchiaro, et al. ∙

∙ 02/25/2020

FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms

We investigate the problem of fair recommendation in the context of two-...

16 Gourab K Patro, et al. ∙

∙ 09/22/2019

Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations

Major online platforms today can be thought of as two-sided markets with...

0 Gourab K Patro, et al. ∙

∙ 09/22/2019

Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly

Major online platforms today can be thought of as two-sided markets with...

0 Gourab K Patro, et al. ∙

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