2008
NeurIPS
NeurIPS 2008
The Mondrian Process
Abstract
We describe a novel stochastic process that can be used to construct a multidimensional generalization of the stick-breaking process and which is related to the classic stick breaking process described by Sethuraman1994 in one dimension. We describe how the process can be applied to relational data modeling using the de Finetti representation for infinitely and partially exchangeable arrays.
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Interdisciplinary Bridge
- Artificial Intelligence and Mathematics & Optimization
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Trend Setter
- Stochastic Processes
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Hot Topic Early Bird
- stochastic process
Authors
Topics
Artificial Intelligence > Bayesian & Probabilistic > Bayesian Learning
Artificial Intelligence > Bayesian & Probabilistic > Probabilistic Modeling
Machine Learning > Optimization & Theory > Stochastic Processes
Machine Learning > Bayesian & Probabilistic > Bayesian Learning
Machine Learning > Bayesian & Probabilistic > Probabilistic Modeling
Machine Learning > Core Methods > Feature Learning
Artificial Intelligence > Bayesian & Probabilistic > Bayesian Inference
Mathematics & Optimization > Probability > Stochastic Processes
Machine Learning > Bayesian & Probabilistic > Nonparametric Bayesian