Arpita Biswas
Harvard University
H-index: 15
North America-United States
Top articles of Arpita Biswas
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Fair Allocation of Conflicting Courses under Additive Utilities | Arpita Biswas Yiduo Ke Samir Khuller Quanquan C Liu | 2024/5/6 | |
The Theory of Fair Allocation Under Structured Set Constraints | Arpita Biswas Justin Payan Rik Sengupta Vignesh Viswanathan | 2023/12/30 | |
Robust planning over restless groups: engagement interventions for a large-scale maternal telehealth program | Proceedings of the AAAI Conference on Artificial Intelligence | Jackson A Killian Arpita Biswas Lily Xu Shresth Verma Vineet Nair | 2023/6/26 |
An Algorithmic Approach to Address Course Enrollment Challenges | arXiv preprint arXiv:2304.07982 | Arpita Biswas Yiduo Ke Samir Khuller Quanquan C Liu | 2023/4/17 |
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks | arXiv preprint arXiv:2303.00799 | Arpita Biswas Jackson A Killian Paula Rodriguez Diaz Susobhan Ghosh Milind Tambe | 2023/3/1 |
Using public data to predict demand for mobile health clinics | Proceedings of the AAAI Conference on Artificial Intelligence | Haipeng Chen Susobhan Ghosh Gregory Fan Nikhil Behari Arpita Biswas | 2022/6/28 |
Ranked Prioritization of Groups in Combinatorial Bandit Allocation | arXiv preprint arXiv:2205.05659 | Lily Xu Arpita Biswas Fei Fang Milind Tambe | 2022/5/11 |
Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning | Jackson A Killian Lily Xu Arpita Biswas Milind Tambe | 2022/8/17 | |
Ensuring fairness under prior probability shifts | Arpita Biswas Suvam Mukherjee | 2021/7/21 | |
Learn to intervene: An adaptive learning policy for restless bandits in application to preventive healthcare | arXiv preprint arXiv:2105.07965 | Arpita Biswas Gaurav Aggarwal Pradeep Varakantham Milind Tambe | 2021/5/17 |
Efficient algorithms for finite horizon and streaming restless multi-armed bandit problems | arXiv preprint arXiv:2103.04730 | Aditya Mate Arpita Biswas Christoph Siebenbrunner Susobhan Ghosh Milind Tambe | 2021/3/8 |
Learning index policies for restless bandits with application to maternal healthcare | Arpita Biswas Gaurav Aggarwal Pradeep Varakantham Milind Tambe | 2021 | |
Toward fair recommendation in two-sided platforms | ACM Transactions on the Web (TWEB) | Arpita Biswas Gourab K Patro Niloy Ganguly Krishna P Gummadi Abhijnan Chakraborty | 2021/12/21 |
Q-learning Lagrange policies for multi-action restless bandits | Jackson A Killian Arpita Biswas Sanket Shah Milind Tambe | 2021/8/14 | |
On Achieving Leximin Fairness and Stability in Many-to-One Matchings | arXiv preprint arXiv:2009.05823 | Shivika Narang Arpita Biswas Yadati Narahari | 2020/9/12 |
Method and system for managing parking violations by vehicles in parking areas in real-time | 2020/8/4 | ||
The role of in-group bias and balanced data: A comparison of human and machine recidivism risk predictions | Arpita Biswas Marta Kolczynska Saana Rantanen Polina Rozenshtein | 2020/6/15 | |
Fairrec: Two-sided fairness for personalized recommendations in two-sided platforms | Gourab K Patro Arpita Biswas Niloy Ganguly Krishna P Gummadi Abhijnan Chakraborty | 2020/4/20 | |
Learning-based controlled concurrency testing | Proceedings of the ACM on Programming Languages | Suvam Mukherjee Pantazis Deligiannis Arpita Biswas Akash Lal | 2020/11/13 |
COVID-19: strategies for allocation of test kits | arXiv preprint arXiv:2004.01740 | Arpita Biswas Shruthi Bannur Prateek Jain Srujana Merugu | 2020/4/3 |
Co-Authors
