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20152026
most citedCalibrated Fairness in Bandits

44 citations · 95 across the 36 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CY2021★ 2 cited

Improving Teacher-Student Interactions in Online Educational Forums using a Markov Chain based Stackelberg Game Model

Rohith Dwarakanath Vallam, Priyanka Bhatt, Debmalya Mandal +1

With the rapid proliferation of the Internet, the area of education has undergone a massive transformation in terms of how students and instructors interact in a classroom. Online…

cs.LG2021

Feature-based Individual Fairness in k-Clustering

Debajyoti Kar, Mert Kosan, Debmalya Mandal +4

Ensuring fairness in machine learning algorithms is a challenging and essential task. We consider the problem of clustering a set of points while satisfying fairness constraints. W…

cs.GT2021

Sequential Blocked Matching

Nicholas Bishop, Hau Chan, Debmalya Mandal +1

We consider a sequential blocked matching (SBM) model where strategic agents repeatedly report ordinal preferences over a set of services to a central planner. The planner's goal i…

cs.GT2021

Surprisingly Popular Voting Recovers Rankings, Surprisingly!

Hadi Hosseini, Debmalya Mandal, Nisarg Shah +1

The wisdom of the crowd has long become the de facto approach for eliciting information from individuals or experts in order to predict the ground truth. However, classical democra…

cs.LG2021★ 13 cited

Meta-Learning with Graph Neural Networks: Methods and Applications

Debmalya Mandal, Sourav Medya, Brian Uzzi +1

Graph Neural Networks (GNNs), a generalization of deep neural networks on graph data have been widely used in various domains, ranging from drug discovery to recommender systems. H…