Follow
Peter Orbanz
Peter Orbanz
Verified email at stat.columbia.edu - Homepage
Title
Cited by
Cited by
Year
Bayesian Nonparametric Models.
P Orbanz, YW Teh
Encyclopedia of machine learning 1, 2010
2632010
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
2512014
Nonparametric Bayesian image segmentation
P Orbanz, JM Buhmann
International Journal of Computer Vision 77 (1), 25-45, 2008
1562008
Cluster analysis of heterogeneous rank data
LM Busse, P Orbanz, JM Buhmann
Proceedings of the 24th international conference on Machine learning, 113-120, 2007
1422007
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
1322018
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, 2012
1302012
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
612019
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
Advances in neural information processing systems 22, 2009
302009
Lecture Notes on Bayesian Nonparametrics
P Orbanz
272014
Random‐walk models of network formation and sequential Monte Carlo methods for graphs
B Bloem‐Reddy, P Orbanz
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2018
242018
Compressibility and generalization in large-scale deep learning
W Zhou, V Veitch, M Austern, RP Adams, P Orbanz
172018
Subsampling large graphs and invariance in networks
P Orbanz
arXiv preprint arXiv:1710.04217, 2017
172017
SAR images as mixtures of Gaussian mixtures
P Orbanz, JM Buhmann
IEEE International Conference on Image Processing 2005 2, II-209, 2005
162005
Preferential attachment and vertex arrival times
B Bloem-Reddy, P Orbanz
arXiv preprint arXiv:1710.02159, 2017
132017
Method for operating a hearing device
JM Buhmann, S Korl, Y Moh, P Orbanz
US Patent 8,477,972, 2013
132013
Projective limit random probabilities on Polish spaces
P Orbanz
Electronic Journal of Statistics 5, 1354-1373, 2011
122011
Unit–rate Poisson representations of completely random measures
P Orbanz, S Williamson
112011
Empirical risk minimization and stochastic gradient descent for relational data
V Veitch, M Austern, W Zhou, DM Blei, P Orbanz
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
102019
The system can't perform the operation now. Try again later.
Articles 1–20