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Keyword

Bayesian nonparametric models

Description: Bayesian statistical models that use flexible function or distribution spaces not limited to a fixed finite-dimensional parameterization.
OpenAlex ID: keywords/bayesian-nonparametric-models
Stochastic variational inference
2013 · Matthew D. Hoffman, David M. Blei, et al. · Journal of Machine Learning Research · 1,801
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
2005 · Carl Edward Rasmussen, Christopher K. I. Williams · The MIT Press eBooks · 1,754
When Gaussian Process Meets Big Data: A Review of Scalable GPs
2020 · Haitao Liu, Yew-Soon Ong, et al. · IEEE Transactions on Neural Networks and Learning Systems · 885
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Stochastic Variational Inference
2012 · Hoffman, Matt, Blei, David M., et al. · arXiv (Cornell University) · 850
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A tutorial on Bayesian nonparametric models
2011 · Samuel J. Gershman, David M. Blei · Journal of Mathematical Psychology · 606
Probabilistic Topic Models
2010 · David Blei, Lawrence Carin, et al. · IEEE Signal Processing Magazine · 335
Online Variational Inference for the Hierarchical Dirichlet Process
2011 · Chong Wang, John Paisley, et al. · 329
Artificial Intelligence in Pharmaceutical and Healthcare Research
2023 · Subrat Kumar Bhattamisra, Priyanka Banerjee, et al. · Big Data and Cognitive Computing · 257
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Bayesian Nonparametric Data Analysis
2015 · Peter Müller, Fernando Andres Quintana, et al. · Springer series in statistics · 214
Nested Hierarchical Dirichlet Processes
2014 · John Paisley, Chong Wang, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 212
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Bayesian Nonparametric Adaptive Control Using Gaussian Processes
2014 · Girish Chowdhary, Hassan A. Kingravi, et al. · IEEE Transactions on Neural Networks and Learning Systems · 185
Driving Style Analysis Using Primitive Driving Patterns With Bayesian Nonparametric Approaches
2018 · Wenshuo Wang, Junqiang Xi, et al. · IEEE Transactions on Intelligent Transportation Systems · 180
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Syntactic Topic Models
2010 · Boyd-Graber, Jordan, Blei, David M. · arXiv (Cornell University) · 162
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A Bayesian nonparametric approach to modeling motion patterns
2011 · Joshua Joseph, Finale Doshi-Velez, et al. · Autonomous Robots · 153
Modelling Reciprocating Relationships with Hawkes Processes
2012 · Charles Blundell, Jeffrey Beck, et al. · 140
A Hierarchical Aspect-Sentiment Model for Online Reviews
2013 · Suin Kim, Jianwen Zhang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 130
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Bayesian Nonparametric Models
2012 · Orbanz, P, Teh, YW · SpringerReference · 111
Gaussian Processes: A Quick Introduction
2015 · Ebden, Mark · arXiv (Cornell University) · 103
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Greedy Strategy Works for k-Center Clustering with Outliers and Coreset Construction
2017 · Ding, Hu, Yu, Haikuo, et al. · arXiv (Cornell University) · 102
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Dirichlet Process
2010 · Yee Whye Teh · Encyclopedia of Machine Learning · 95
Bayesian Time Series Learning with Gaussian Processes
2015 · Frigola, Roger · Apollo (University of Cambridge) · 93
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Probabilistic modelling of wind turbine power curves with application of heteroscedastic Gaussian Process regression
2019 · T.J. Rogers, P. Gardner, et al. · Renewable Energy · 92
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A stochastic memoizer for sequence data
2009 · Frank Wood, Cédric Archambeau, et al. · International Conference on Machine Learning · 92
Bayesian common spatial patterns for multi-subject EEG classification
2014 · Hyohyeong Kang, Seungjin Choi · Neural Networks · 91
Social Network-Based Content Delivery in Device-to-Device Underlay Cellular Networks Using Matching Theory
2016 · Chen Xu, Caixia Gao, et al. · IEEE Access · 84
Works count: 636
Citation count: 13,460
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