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Efficient Forward Architecture Search

May 31, 2019
Hanzhang Hu, John Langford, Rich Caruana, Saurajit Mukherjee, Eric Horvitz, Debadeepta Dey

* preprint 

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Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing

May 25, 2018
Hanzhang Hu, Debadeepta Dey, Martial Hebert, J. Andrew Bagnell


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Log-DenseNet: How to Sparsify a DenseNet

Oct 30, 2017
Hanzhang Hu, Debadeepta Dey, Allison Del Giorno, Martial Hebert, J. Andrew Bagnell


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Gradient Boosting on Stochastic Data Streams

Mar 01, 2017
Hanzhang Hu, Wen Sun, Arun Venkatraman, Martial Hebert, J. Andrew Bagnell

* To appear in AISTATS 2017 

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Efficient Feature Group Sequencing for Anytime Linear Prediction

Dec 05, 2016
Hanzhang Hu, Alexander Grubb, J. Andrew Bagnell, Martial Hebert

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

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