A toolbox of Bayesian nonparametric space partition models. We provide implementations of Sparti methods as follows:
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Rectangular Bounding Process Xuhui Fan, Bin Li, Scott A. Sisson. The 32nd Conference on Neural Information Processing Systems (NeurIPS-18)
This method uses "bounding" strategy to directly generate boxes in a product space and is able to reduce modelling on sparse and noisy regions.
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Binary Space Partitioning-Tree Process Xuhui Fan, Bin Li, Scott A. Sisson. The 21st International Conference on Artificial Intelligence and Statistics (AISTATS- 18).
This method allows sloped hierarchical cuts in a 2-dimensional space and can describe dimensional dependencies.
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Binary Space Partitioning Forest Xuhui Fan, Bin Li, Scott A. Sisson. The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS- 19).
This method uses 2-dimensional hyperplane to enable sloped cuts in a multi-dimensional space.
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Online Binary Space Partitioning Forests Xuhui Fan, Bin Li, Scott A. Sisson. The 23rd International Conference on Artificial Intelligence and Statistics (AISTATS-20).
This method adopts the generative process of Binary Space Partitioning Forests to enable online learning.