3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 2 cited
Contrasting local and global modeling with machine learning and satellite data: A case study estimating tree canopy height in African savannas
Esther Rolf, Lucia Gordon, Milind Tambe +1
While advances in machine learning with satellite imagery (SatML) are facilitating environmental monitoring at a global scale, developing SatML models that are accurate and useful…
cs.MA2024
Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents
Lucia Gordon, Esther Rolf, Milind Tambe
Stochastic multi-agent multi-armed bandits typically assume that the rewards from each arm follow a fixed distribution, regardless of which agent pulls the arm. However, in many re…
cs.LG2024★ 3 cited
Application-Driven Innovation in Machine Learning
David Rolnick, Alan Aspuru-Guzik, Sara Beery +8
In this position paper, we argue that application-driven research has been systemically under-valued in the machine learning community. As applications of machine learning prolifer…