Back to Results
First PageMeta Content
Bayesian statistics / Statistical models / Generative model / Bayes factor / Variational Bayesian methods / Variational message passing / Marginal likelihood / Supervised learning / Gibbs sampling / Statistics / Machine learning / Probability and statistics


Model Selection in Compositional Spaces by Roger Baker Grosse B.S., Stanford UniversityM.S., Stanford University (2008)
Add to Reading List

Document Date: 2015-06-03 15:15:50

Open Document

File Size: 4,21 MB

Share Result on Facebook

City

Toronto / /

Company

Harvard Intelligent Probabilistic Systems / Netflix / Monte / Microsoft / /

Facility

Cambridge University / MASSACHUSETTS INSTITUTE OF TECHNOLOGY February / University of Toronto / Stanford University / Massachusetts Institute of Technology / /

IndustryTerm

compositional structure search / greedy search / inference algorithms / unsupervised learning software packages / neural networks / structure search / symbolic systems / software package / approximate inference algorithms / generic algorithms / model-specific inference algorithms / marginal likelihood estimation algorithms / /

Organization

United States Senate / Cambridge University / CoCoSci / MIT Vision Group / Harvard / Stanford University / Committee on Graduate Students Model Selection / MASSACHUSETTS INSTITUTE OF TECHNOLOGY / Department of Electrical Engineering and Computer Science / University of Toronto / /

Person

James Lloyd / Selection / Ruslan Salakhutdinov / Matt Johnson / Chris Maddison / David Duvenaud / Brenda / William T. Freeman / Bell / Joseph Lim / Josh Tenenbaum / Roger Baker Grosse / Radford Neal / Ryan Adams / Ted Adelson / Bill Freeman / Martin Szummer / Emily / Zoubin / Roger Baker Grosse Submitted / Koren / Geoff Hinton / Eric / Leslie A. Kolodziejski Chair / /

Position

Author / Bayesian statistician / advisor / Model / Professor of Electrical Engineering and Computer Science Thesis Supervisor / Professor of Electrical Engineering / General / /

ProvinceOrState

Massachusetts / /

SportsLeague

Stanford University / /

TVStation

Kimo / /

Technology

inference algorithms / 3.3 Algorithm / marginal likelihood estimation algorithms / approximate inference algorithms / model-specific inference algorithms / machine learning / /

SocialTag