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Michael A. Gelbart

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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

ISLPED, pp.1-6, (2017)

Cited by24EIBibtex

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

Jose Miguel Hernandezlobato,Michael Gelbart,Ryan P Adams,Matthew W Hoffman,Zoubin Ghahramani

Journal of Machine Learning Research, (2015)

Cited by66EIBibtex

Predictive Entropy Search for Bayesian Optimization with Unknown Constraints

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

International Conference on Machine Learning, (2015)

Cited by77EIBibtex

Learning Ordered Representations with Nested Dropout

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

ICML, (2014): 1746-1754

Cited by44EIBibtex

Bayesian Optimization with Unknown Constraints

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

International Conference on Uncertainty in Artificial Intelligence, (2014): 250-259

Cited by197EIBibtex

Filament depolymerization can pull a chromosome during bacterial mitosis

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

(2011)

Cited by1Bibtex

Filament Depolymerization can Explain Chromosome Pulling During Bacterial Mitosis

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

PLoS Computational Biology, no. 3 (2011)

Cited by31EIBibtex

Proposed Physical Mechanism of Chromosome Segregation in Caulobacter crescentus

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

(2010)

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