Peter Orbanz

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 10

Top Topics

Bayesian Models

Relational Data

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Peter Orbanz
Global optimality under amenable symmetry constraints. CoRR (2024)
Lee M. Gunderson, Gecia Bravo Hermsdorff, Peter Orbanz
The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models. CoRR (2024)
Lee M. Gunderson, Gecia Bravo Hermsdorff, Peter Orbanz
The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models. NeurIPS (2023)
Ryan P. Adams, Peter Orbanz
Representing and Learning Functions Invariant Under Crystallographic Groups. CoRR (2023)
Kevin H. Huang, Peter Orbanz, Morgane Austern
Quantifying the Effects of Data Augmentation. CoRR (2022)
Victor Veitch, Morgane Austern, Wenda Zhou, David M. Blei, Peter Orbanz
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data. AISTATS (2019)
Wenda Zhou, Victor Veitch, Morgane Austern, Ryan P. Adams, Peter Orbanz
Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach. ICLR (Poster) (2019)
Victor Veitch, Morgane Austern, Wenda Zhou, David M. Blei, Peter Orbanz
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data. CoRR (2018)
Wenda Zhou, Victor Veitch, Morgane Austern, Ryan P. Adams, Peter Orbanz
Compressibility and Generalization in Large-Scale Deep Learning. CoRR (2018)
Benjamin Bloem-Reddy, Peter Orbanz
Preferential Attachment and Vertex Arrival Times. CoRR (2017)
Peter Orbanz, Daniel M. Roy
Bayesian Models of Graphs, Arrays and Other Exchangeable Random Structures. IEEE Trans. Pattern Anal. Mach. Intell. 37 (2) (2015)
James Robert Lloyd, Peter Orbanz, Zoubin Ghahramani, Daniel M. Roy
Random function priors for exchangeable arrays with applications to graphs and relational data. NIPS (2012)
Sinead Williamson, Peter Orbanz, Zoubin Ghahramani
Dependent Indian Buffet Processes. AISTATS (2010)
Peter Orbanz
Construction of Nonparametric Bayesian Models from Parametric Bayes Equations. NIPS (2009)
Peter Orbanz, Joachim M. Buhmann
Nonparametric Bayesian Image Segmentation. Int. J. Comput. Vis. 77 (1-3) (2008)
Yvonne Moh, Peter Orbanz, Joachim M. Buhmann
Music preference learning with partial information. ICASSP (2008)
Peter Orbanz, Samuel Braendle, Joachim M. Buhmann
Bayesian Order-Adaptive Clustering for Video Segmentation. EMMCVPR (2007)
Ludwig M. Busse, Peter Orbanz, Joachim M. Buhmann
Cluster analysis of heterogeneous rank data. ICML (2007)
Peter Orbanz, Joachim M. Buhmann
Smooth Image Segmentation by Nonparametric Bayesian Inference. ECCV (1) (2006)
Peter Orbanz, Joachim M. Buhmann
SAR images as mixtures of Gaussian mixtures. ICIP (2) (2005)