12 citations · 38 across the 5 of their papers we have counts for
10 papers
Ranked Prioritization of Groups in Combinatorial Bandit Allocation
Lily Xu, Arpita Biswas, Fei Fang +1
Preventing poaching through ranger patrols protects endangered wildlife, directly contributing to the UN Sustainable Development Goal 15 of life on land. Combinatorial bandits have…
Q-Learning Lagrange Policies for Multi-Action Restless Bandits
Jackson A. Killian, Arpita Biswas, Sanket Shah +1
Multi-action restless multi-armed bandits (RMABs) are a powerful framework for constrained resource allocation in which independent processes are managed. However, previous wor…
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare
Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham +1
In many public health settings, it is important for patients to adhere to health programs, such as taking medications and periodic health checks. Unfortunately, beneficiaries may g…
Ensuring Fairness under Prior Probability Shifts
Arpita Biswas, Suvam Mukherjee
In this paper, we study the problem of fair classification in the presence of prior probability shifts, where the training set distribution differs from the test set. This phenomen…
COVID-19: Strategies for Allocation of Test Kits
Arpita Biswas, Shruthi Bannur, Prateek Jain +1
With the increasing spread of COVID-19, it is important to systematically test more and more people. The current strategy for test-kit allocation is mostly rule-based, focusing on…
Quantifying Infra-Marginality and Its Trade-off with Group Fairness
Arpita Biswas, Siddharth Barman, Amit Deshpande +1
In critical decision-making scenarios, optimizing accuracy can lead to a biased classifier, hence past work recommends enforcing group-based fairness metrics in addition to maximiz…