382 citations · 978 across the 50 of their papers we have counts for
4 papers · 1 filter
SpeedMachines: Anytime Structured Prediction
Alexander Grubb, Daniel Munoz, J. Andrew Bagnell +1
Structured prediction plays a central role in machine learning applications from computational biology to computer vision. These models require significantly more computation than…
Computational Rationalization: The Inverse Equilibrium Problem
Kevin Waugh, Brian D. Ziebart, J. Andrew Bagnell
Modeling the purposeful behavior of imperfect agents from a small number of observations is a challenging task. When restricted to the single-agent decision-theoretic setting, inve…
Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization
Jiaji Zhou, Stephane Ross, Yisong Yue +2
We study the problem of predicting a set or list of options under knapsack constraint. The quality of such lists are evaluated by a submodular reward function that measures both qu…
Learning Policies for Contextual Submodular Prediction
Stephane Ross, Jiaji Zhou, Yisong Yue +2
Many prediction domains, such as ad placement, recommendation, trajectory prediction, and document summarization, require predicting a set or list of options. Such lists are often…