1 citations · 1 across the 5 of their papers we have counts for
5 papers
Human Uncertainty in Concept-Based AI Systems
Katherine M. Collins, Matthew Barker, Mateo Espinosa Zarlenga +6
Placing a human in the loop may abate the risks of deploying AI systems in safety-critical settings (e.g., a clinician working with a medical AI system). However, mitigating risks…
Improving Learning-to-Defer Algorithms Through Fine-Tuning
Naveen Raman, Michael Yee
The ubiquity of AI leads to situations where humans and AI work together, creating the need for learning-to-defer algorithms that determine how to partition tasks between AI and hu…
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling
Naveen Raman, Sanket Shah, John Dickerson
Rideshare and ride-pooling platforms use artificial intelligence-based matching algorithms to pair riders and drivers. However, these platforms can induce inequality either through…
The Muffin Problem
Guangiqi Cui, John Dickerson, Naveen Durvasula +6
You have muffins and students. You want to divide the muffins into pieces and give the shares to students such that every student has muffins. Find a divide-a…
Three Results on Making Change (An Exposition)
William Gasarch, Naveen Raman
Assume you an infinite supply of pennies, nickels, dimes, and quarters (or some other finite set of denominations which are relatively prime). Let CH(n) be the number of ways to ma…