Michael A. Gelbart

Publication Activity (10 Years)

Years Active: 2011-2017
Publications (10 Years): 3

Top Topics

Highly Non Linear

Design Space Exploration

Np Hard Optimization Problems

Monte Carlo Sampling

Top Venues

J. Mach. Learn. Res.

Publications

Brandon Reagen, José Miguel Hernández-Lobato, Robert Adolf, Michael A. Gelbart, Paul N. Whatmough, Gu-Yeon Wei, David M. Brooks
A case for efficient accelerator design space exploration via Bayesian optimization. ISLPED (2017)
José Miguel Hernández-Lobato, Michael A. Gelbart, Ryan P. Adams, Matthew W. Hoffman, Zoubin Ghahramani
A General Framework for Constrained Bayesian Optimization using Information-based Search. J. Mach. Learn. Res. 17 (2016)
José Miguel Hernández-Lobato, Michael A. Gelbart, Matthew W. Hoffman, Ryan P. Adams, Zoubin Ghahramani
Predictive Entropy Search for Bayesian Optimization with Unknown Constraints. ICML (2015)
Michael A. Gelbart, Jasper Snoek, Ryan P. Adams
Bayesian Optimization with Unknown Constraints. UAI (2014)
Oren Rippel, Michael A. Gelbart, Ryan P. Adams
Learning Ordered Representations with Nested Dropout. ICML (2014)
Oren Rippel, Michael A. Gelbart, Ryan P. Adams
Learning Ordered Representations with Nested Dropout. CoRR (2014)
Michael A. Gelbart, Jasper Snoek, Ryan P. Adams
Bayesian Optimization with Unknown Constraints. CoRR (2014)
Edward J. Banigan, Michael A. Gelbart, Zemer Gitai, Ned S. Wingreen, Andrea J. Liu
Filament Depolymerization Can Explain Chromosome Pulling during Bacterial Mitosis. PLoS Comput. Biol. 7 (9) (2011)