Peter Orbanz
Peter Orbanz
Verified email at stat.columbia.edu - Homepage
Title
Cited by
Cited by
Year
Encyclopedia of machine learning
C Sammut, GI Webb
Springer Science & Business Media, 2011
12432011
Bayesian Nonparametric Models.
P Orbanz, YW Teh
Encyclopedia of machine learning 1, 2010
2392010
Bayesian models of graphs, arrays and other exchangeable random structures
P Orbanz, DM Roy
IEEE transactions on pattern analysis and machine intelligence 37 (2), 437-461, 2014
2182014
Nonparametric Bayesian image segmentation
P Orbanz, JM Buhmann
International Journal of Computer Vision 77 (1), 25-45, 2008
1422008
Cluster analysis of heterogeneous rank data
LM Busse, P Orbanz, JM Buhmann
Proceedings of the 24th international conference on Machine learning, 113-120, 2007
1342007
Random function priors for exchangeable arrays with applications to graphs and relational data
J Lloyd, P Orbanz, Z Ghahramani, DM Roy
Advances in Neural Information Processing Systems 25, 998-1006, 2012
1152012
Non-vacuous generalization bounds at the imagenet scale: a PAC-bayesian compression approach
W Zhou, V Veitch, M Austern, RP Adams, P Orbanz
arXiv preprint arXiv:1804.05862, 2018
712018
Dependent Indian buffet processes
S Williamson, P Orbanz, Z Ghahramani
Proceedings of the thirteenth international conference on artificial …, 2010
642010
Distribution theory for hierarchical processes
F Camerlenghi, A Lijoi, P Orbanz, I Prünster
The Annals of Statistics 47 (1), 67-92, 2019
452019
Smooth image segmentation by nonparametric Bayesian inference
P Orbanz, JM Buhmann
European conference on computer vision, 444-457, 2006
402006
Construction of Nonparametric Bayesian Models from Parametric Bayes Equations.
P Orbanz
NIPS, 1392-1400, 2009
282009
Random walk models of network formation and sequential Monte Carlo methods for graphs
B Bloem-Reddy, P Orbanz
arXiv preprint arXiv:1612.06404, 2016
202016
Lecture Notes on Bayesian Nonparametrics
P Orbanz
192014
Subsampling large graphs and invariance in networks
P Orbanz
arXiv preprint arXiv:1710.04217, 2017
152017
Compressibility and generalization in large-scale deep learning
W Zhou, V Veitch, M Austern, RP Adams, P Orbanz
142018
SAR images as mixtures of Gaussian mixtures
P Orbanz, JM Buhmann
IEEE International Conference on Image Processing 2005 2, II-209, 2005
142005
Preferential attachment and vertex arrival times
B Bloem-Reddy, P Orbanz
arXiv preprint arXiv:1710.02159, 2017
112017
Unit–rate Poisson representations of completely random measures
P Orbanz, S Williamson
112011
Projective limit random probabilities on Polish spaces
P Orbanz
Electronic Journal of Statistics 5, 1354-1373, 2011
102011
Conjugate projective limits
P Orbanz
arXiv preprint arXiv:1012.0363, 2010
82010
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