Michael A. Gelbart

According to our database, Michael A. Gelbart authored at least 6 papers between 2011 and 2017.

Collaborative distances:

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

2017

A case for efficient accelerator design space exploration via Bayesian optimization.

Brandon Reagen, José Miguel Hernández-Lobato, Robert Adolf, Michael A. Gelbart, Paul N. Whatmough, Gu-Yeon Wei, David M. Brooks

Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017

2016

A General Framework for Constrained Bayesian Optimization using Information-based Search.

José Miguel Hernández-Lobato, Michael A. Gelbart, Ryan P. Adams, Matthew W. Hoffman, Zoubin Ghahramani

J. Mach. Learn. Res., 2016

2015

Predictive Entropy Search for Bayesian Optimization with Unknown Constraints.

José Miguel Hernández-Lobato, Michael A. Gelbart, Matthew W. Hoffman, Ryan P. Adams, Zoubin Ghahramani

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Bayesian Optimization with Unknown Constraints.

Michael A. Gelbart, Jasper Snoek, Ryan P. Adams

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Learning Ordered Representations with Nested Dropout.

Oren Rippel, Michael A. Gelbart, Ryan P. Adams

Proceedings of the 31th International Conference on Machine Learning, 2014

2011

Filament Depolymerization Can Explain Chromosome Pulling during Bacterial Mitosis.

Edward J. Banigan, Michael A. Gelbart, Zemer Gitai, Ned S. Wingreen, Andrea J. Liu

PLoS Comput. Biol., 2011