Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Das, Sanmay"'
There has been considerable recent interest in scoring properties on the basis of eviction risk. The success of methods for eviction prediction is typically evaluated using different measures of predictive accuracy. However, the underlying goal of su
Externí odkaz:
http://arxiv.org/abs/2401.16440
Street-level bureaucrats interact directly with people on behalf of government agencies to perform a wide range of functions, including, for example, administering social services and policing. A key feature of street-level bureaucracy is that the ci
Externí odkaz:
http://arxiv.org/abs/2312.10694
Autor:
Acharya, Angeela, Shrestha, Sulabh, Chen, Anyi, Conte, Joseph, Avramovic, Sanja, Sikdar, Siddhartha, Anastasopoulos, Antonios, Das, Sanmay
The utilization of Electronic Health Records (EHRs) for clinical risk prediction is on the rise. However, strict privacy regulations limit access to comprehensive health records, making it challenging to apply standard machine learning algorithms in
Externí odkaz:
http://arxiv.org/abs/2312.03742
Autor:
Pokharel, Gaurab, Das, Sanmay
We study the problem of repeated two-sided matching with uncertain preferences (two-sided bandits), and no explicit communication between agents. Recent work has developed algorithms that converge to stable matchings when one side (the proposers or a
Externí odkaz:
http://arxiv.org/abs/2302.06176
Individual-level data (microdata) that characterizes a population, is essential for studying many real-world problems. However, acquiring such data is not straightforward due to cost and privacy constraints, and access is often limited to aggregated
Externí odkaz:
http://arxiv.org/abs/2212.05975
We consider social resource allocations that deliver an array of scarce supports to a diverse population. Such allocations pervade social service delivery, such as provision of homeless services, assignment of refugees to cities, among others. At iss
Externí odkaz:
http://arxiv.org/abs/2202.12334
The use of algorithmic decision making systems in domains which impact the financial, social, and political well-being of people has created a demand for these decision making systems to be "fair" under some accepted notion of equity. This demand has
Externí odkaz:
http://arxiv.org/abs/2112.02746
Autor:
Das, Sanmay
AI is increasingly used to aid decision-making about the allocation of scarce societal resources, for example housing for homeless people, organs for transplantation, and food donations. Recently, there have been several proposals for how to design o
Externí odkaz:
http://arxiv.org/abs/2112.01236
In many societal resource allocation domains, machine learning methods are increasingly used to either score or rank agents in order to decide which ones should receive either resources (e.g., homeless services) or scrutiny (e.g., child welfare inves
Externí odkaz:
http://arxiv.org/abs/2012.09147