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Keyword

approximate inference

Description: Computational methods for estimating probabilities or posterior distributions when exact inference in probabilistic models is impractical.
Wikidata ID: wiki/Q16968992
OpenAlex ID: keywords/approximate-inference
Deep Learning
2016 · Ian Goodfellow, Yoshua Bengio, et al. · 11,669
Approximate Inference in Generalized Linear Mixed Models
1993 · N. E. Breslow, D. G. Clayton · Journal of the American Statistical Association · 4,631
An Introduction to Variational Methods for Graphical Models
1999 · Michael I. Jordan, Zoubin Ghahramani, et al. · Machine Learning · 3,664
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Incorporating non-local information into information extraction systems by Gibbs sampling
2005 · Jenny Rose Finkel, Trond Grenager, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 3,029
PDF
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
2012 · Krähenbühl, Philipp, Koltun, Vladlen · arXiv (Cornell University) · 2,912
PDF
Dynamic bayesian networks: representation, inference and learning
2002 · Kevin P. Murphy, Stuart Russell · 2,564
Graphical Models, Exponential Families, and Variational Inference
2008 · Martin J. Wainwright, Michael I. Jordan · Foundations and Trends® in Machine Learning · 1,823
Variational Algorithms for Approximate Bayesian Inference
2003 · Matthew J. Beal · 1,680
Loopy Belief Propagation for Approximate Inference: An Empirical Study
2013 · Murphy, Kevin, Weiss, Yair, et al. · arXiv (Cornell University) · 1,418
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Understanding belief propagation and its generalizations
2003 · Jonathan S. Yedidia, William T. Freeman, et al. · 1,282
Factorial Hidden Markov Models
1997 · Zoubin Ghahramani, Michael I. Jordan · Machine Learning · 1,157
PDF
Modeling and Reasoning with Bayesian Networks
2009 · Adnan Darwiche · Cambridge University Press eBooks · 1,111
LDA-based document models for ad-hoc retrieval
2006 · Xing Wei, W. Bruce Croft · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 1,089
Fields of Experts: A Framework for Learning Image Priors
2005 · S. Roth, M.J. Black · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,087
The bayes net toolbox for matlab
2001 · Keelin Murphy · 1,016
Normalizing Flows for Probabilistic Modeling and Inference
2019 · Papamakarios, George, Nalisnick, Eric, et al. · arXiv (Cornell University) · 957
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Fields of Experts
2009 · Stefan Roth, Michael J. Black · International Journal of Computer Vision · 846
The generalized distributive law
2000 · S.M. Aji, R.J. McEliece · IEEE Transactions on Information Theory · 737
Dynamic conditional random fields
2004 · Charles Sutton, Khashayar Rohanimanesh, et al. · 729
An Introduction to Hidden Markov Models and Bayesian Networks
2001 · ZOUBIN GHAHRAMANI · International Journal of Pattern Recognition and Artificial Intelligence · 702
Parameter estimation for text analysis
2009 · Gregor Heinrich · 695
Probabilistic brains: knowns and unknowns
2013 · Alexandre Pouget, Jeffrey M Beck, et al. · Nature Neuroscience · 615
An Introduction to Variational Methods for Graphical Models
1998 · Michael I. Jordan, Zoubin Ghahramani, et al. · Springer eBooks · 551
Estimation and Inference by Compact Coding
1987 · C. S. Wallace, P. R. Freeman · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 523
Simultaneous image classification and annotation
2009 · Wang Chong, David Blei, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 515
Works count: 2,374
Citation count: 88,430
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