Alexander Grubb

According to our database, Alexander Grubb authored at least 6 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

ABCDE: Application-Based Cluster Diff Evals.

Stephan van Staden, Alexander Grubb

CoRR, 2024

2016

Efficient Feature Group Sequencing for Anytime Linear Prediction.

Hanzhang Hu, Alexander Grubb, J. Andrew Bagnell, Martial Hebert

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

2013

SpeedMachines: Anytime Structured Prediction.

Alexander Grubb, Daniel Munoz, J. Andrew Bagnell, Martial Hebert

CoRR, 2013

2012

SpeedBoost: Anytime Prediction with Uniform Near-Optimality.

Alexander Grubb, Drew Bagnell

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011

Generalized Boosting Algorithms for Convex Optimization.

Alexander Grubb, Drew Bagnell

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Boosted Backpropagation Learning for Training Deep Modular Networks.

Alexander Grubb, J. Andrew Bagnell

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010