Peter Carbonetto
Peter Carbonetto
Research Computing Center, University of Chicago
Verified email at - Homepage
Cited by
Cited by
Polygenic modeling with Bayesian sparse linear mixed models
X Zhou, P Carbonetto, M Stephens
PLoS Genet 9 (2), e1003264, 2013
A statistical model for general contextual object recognition
P Carbonetto, N de Freitas, K Barnard
8th European Conference on Computer Vision, 350-362, 2004
Scalable variational inference for Bayesian variable selection in regression, and its accuracy in genetic association studies
P Carbonetto, M Stephens
Bayesian analysis 7 (1), 73-108, 2012
Genetic background limits generalizability of genotype-phenotype relationships
L Sittig, P Carbonetto, K Engel, K Krauss, C Barrios-Camacho, A Palmer
Neuron 91, 1253-1259, 2016
Genome-wide association study of behavioral, physiological and gene expression traits in outbred CFW mice
CC Parker, S Gopalakrishnan, P Carbonetto, NM Gonzales, E Leung, ...
Nature Genetics, 2016
Integrated enrichment analysis of variants and pathways in genome-wide association studies indicates central role for IL-2 signaling genes in type 1 diabetes, and cytokine …
P Carbonetto, M Stephens
PLoS Genet 9 (10), e1003770, 2013
Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions
SM Urbut, G Wang, P Carbonetto, M Stephens
Nature genetics 51 (1), 187-195, 2019
Clustering of 770,000 genomes reveals post-colonial population structure of North America
E Han, P Carbonetto, RE Curtis, Y Wang, JM Granka, J Byrnes, K Noto, ...
Nature Communications 8, 14238, 2017
Learning to recognize objects with little supervision
P Carbonetto, G Dorkó, C Schmid, H Kück, N De Freitas
International Journal of Computer Vision 77 (1-3), 219-237, 2008
Mapping of Craniofacial Traits in Outbred Mice Identifies Major Developmental Genes Involved in Shape Determination
LF Pallares, P Carbonetto, S Gopalakrishnan, CC Parker, ...
PLoS Genetics 11 (11), e1005607, 2015
High-resolution genetic mapping of complex traits from a combined analysis of F2 and advanced intercross mice
C Parker, P Carbonetto, G Sokoloff, Y Park, M Abney, A Palmer
Genetics 198, 103-116, 2014
Nonparametric Bayesian logic
P Carbonetto, J Kisynski, N de Freitas, DL Poole
21st Conference on Uncertainty in Artificial Intelligence, 85-93, 2005
Bayesian feature weighting for unsupervised learning, with application to object recognition
P Carbonetto, N De Freitas, P Gustafson, N Thompson
Artificial Intelligence and Statistics, 2003
Methods for alleviating symptoms associated with neuropathic conditions comprising administration of low levels of antibodies
J McMichael
US Patent 6,713,058, 2004
A constrained semi-supervised learning approach to data association
H Kück, P Carbonetto, N de Freitas
8th European Conference on Computer Vision, 1-12, 2004
A simple new approach to variable selection in regression, with application to genetic fine mapping
G Wang, A Sarkar, P Carbonetto, M Stephens
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2020
Why can't José read?-The problem of learning semantic associations in a robot environment
P Carbonetto, N De Freitas
A Stochastic approximation method for inference in probabilistic graphical models.
P Carbonetto, M King, F Hamze
Neural Information Processing Systems 23, 216-224, 2009
A Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues
P Carbonetto, G Dorko, C Schmid, H Kuck, N Freitas
Lecture Notes in Computer Science 4170, 277-300, 2006
An interior-point stochastic approximation method and an L1-regularized delta rule.
P Carbonetto, MW Schmidt, N De Freitas
Neural Information Processing Systems 22, 233-240, 2008
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