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Socially Fair Reinforcement Learning


Aug 26, 2022
Debmalya Mandal, Jiarui Gan


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Performative Reinforcement Learning


Jun 30, 2022
Debmalya Mandal, Stelios Triantafyllou, Goran Radanovic


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Learning Tensor Representations for Meta-Learning


Jan 18, 2022
Samuel Deng, Yilin Guo, Daniel Hsu, Debmalya Mandal

* Forthcoming at AISTATS-2022 

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Feature-based Individual Fairness in k-Clustering


Sep 09, 2021
Debajyoti Kar, Sourav Medya, Debmalya Mandal, Arlei Silva, Palash Dey, Swagato Sanyal


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Surprisingly Popular Voting Recovers Rankings, Surprisingly!


May 19, 2021
Hadi Hosseini, Debmalya Mandal, Nisarg Shah, Kevin Shi

* Forthcoming at IJCAI-2021 

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Meta-Learning with Graph Neural Networks: Methods and Applications


Feb 27, 2021
Debmalya Mandal, Sourav Medya, Brian Uzzi, Charu Aggarwal


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Ensuring Fairness Beyond the Training Data


Jul 12, 2020
Debmalya Mandal, Samuel Deng, Suman Jana, Jeannette M. Wing, Daniel Hsu

* 18 pages, 3 figures 

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Weighted Tensor Completion for Time-Series Causal Inference


Feb 14, 2019
Debmalya Mandal, David Parkes

* 25 pages, 3 figures 

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Calibrated Fairness in Bandits


Jul 06, 2017
Yang Liu, Goran Radanovic, Christos Dimitrakakis, Debmalya Mandal, David C. Parkes

* To be presented at the FAT-ML'17 workshop 

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