2 papers
cs.LG2025
Cost and Reward Infused Metric Elicitation
Chethan Bhateja, Joseph O'Brien, Afnaan Hashmi +1
In machine learning, metric elicitation refers to the selection of performance metrics that best reflect an individual's implicit preferences for a given application. Currently, me…
cs.RO2024
Re-Mix: Optimizing Data Mixtures for Large Scale Imitation Learning
Joey Hejna, Chethan Bhateja, Yichen Jiang +2
Increasingly large imitation learning datasets are being collected with the goal of training foundation models for robotics. However, despite the fact that data selection has been…