Kenichi Kurihara

According to our database1, Kenichi Kurihara authored at least 17 papers between 2006 and 2013.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2013
Quantum annealing for Dirichlet process mixture models with applications to network clustering.
Neurocomputing, 2013

2012
Practical collapsed variational bayes inference for hierarchical dirichlet process.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Exchangeable inconsistent priors for Bayesian posterior inference.
Proceedings of the 2012 Information Theory and Applications Workshop, 2012

2010
Deterministic Single-Pass Algorithm for LDA.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
Bayesian <i>k</i>-Means as a "Maximization-Expectation" Algorithm.
Neural Comput., 2009

Quantum Annealing for Variational Bayes Inference.
Proceedings of the UAI 2009, 2009

Quantum Annealing for Clustering.
Proceedings of the UAI 2009, 2009

2008
Variational Bayes via propositionalized probability computation in PRISM.
Ann. Math. Artif. Intell., 2008

Graph Mining with Variational Dirichlet Process Mixture Models.
Proceedings of the SIAM International Conference on Data Mining, 2008

Identification of MCMC Samples for Clustering.
Proceedings of the Large-Scale Knowledge Resources. Construction and Application, 2008

2007
Discovering Concepts from Word Co-occurrences with a Relational Model.
Inf. Media Technol., 2007

Collapsed Variational Inference for HDP.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Collapsed Variational Dirichlet Process Mixture Models.
Proceedings of the IJCAI 2007, 2007

Variational Bayes via Propositionalization.
Proceedings of the Probabilistic, Logical and Relational Learning - A Further Synthesis, 15.04., 2007

2006
Bayesian K-Means as a "Maximization-Expectation" Algorithm.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Accelerated Variational Dirichlet Process Mixtures.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Variational Bayesian Grammar Induction for Natural Language.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2006


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