Boosted Backpropagation Learning for Training Deep Modular Networks. - Alexander Grubb; J. Andrew Bagnell (ICML, 2010)

Generalized Boosting Algorithms for Convex Optimization. - Alexander Grubb; Drew Bagnell (ICML, 2011)

SpeedBoost: Anytime Prediction with Uniform Near-Optimality. - Alexander Grubb; Drew Bagnell (AISTATS, 2012)

SpeedMachines: Anytime Structured Prediction. - Alexander Grubb; Daniel Munoz; J. Andrew Bagnell; Martial Hebert (CoRR, 2013)

Efficient Feature Group Sequencing for Anytime Linear Prediction. - Hanzhang Hu; Alexander Grubb; J. Andrew Bagnell; Martial Hebert (UAI, 2016)

ABCDE: Application-Based Cluster Diff Evals. - Stephan van Staden; Alexander Grubb (CoRR, 2024)