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May 10, 2017 - Java
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scalable-bayesian-models
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Scalable Bayesian Optimization : Comparison of various methods
neural-networks gaussian-processes bayesian-optimization scalable-bayesian-models multitask-learning
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Updated
Apr 26, 2019 - Jupyter Notebook
BayesCOOP is a scalable Bayesian framework for supervised multimodal data integration. It combines the Bayesian bootstrap with a jittered group spike-and-slab Laplace prior to enable cooperative learning across heterogeneous data modalities, with principled uncertainty quantification.
bayesian-inference uncertainty-quantification supervised-machine-learning scalable-bayesian-models spike-and-slab bayesian-bootstrap multimodal-ai
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Nov 25, 2025 - HTML
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