Kenichi Kurihara

According to our database, Kenichi Kurihara authored at least 16 papers between 2006 and 2013.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2013

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

Issei Sato, Shu Tanaka, Kenichi Kurihara, Seiji Miyashita, Hiroshi Nakagawa

Neurocomputing, 2013

2012

Practical collapsed variational bayes inference for hierarchical dirichlet process.

Issei Sato, Kenichi Kurihara, Hiroshi Nakagawa

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Exchangeable inconsistent priors for Bayesian posterior inference.

Max Welling, Ian Porteous, Kenichi Kurihara

Proceedings of the 2012 Information Theory and Applications Workshop, 2012

2010

Deterministic Single-Pass Algorithm for LDA.

Issei Sato, Kenichi Kurihara, Hiroshi Nakagawa

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.

Kenichi Kurihara, Max Welling

Neural Comput., 2009

Quantum Annealing for Variational Bayes Inference.

Issei Sato, Kenichi Kurihara, Shu Tanaka, Hiroshi Nakagawa, Seiji Miyashita

Proceedings of the UAI 2009, 2009

Quantum Annealing for Clustering.

Kenichi Kurihara, Shu Tanaka, Seiji Miyashita

Proceedings of the UAI 2009, 2009

2008

Variational Bayes via propositionalized probability computation in PRISM.

Taisuke Sato, Yoshitaka Kameya, Kenichi Kurihara

Ann. Math. Artif. Intell., 2008

Graph Mining with Variational Dirichlet Process Mixture Models.

Koji Tsuda, Kenichi Kurihara

Proceedings of the SIAM International Conference on Data Mining, 2008

Identification of MCMC Samples for Clustering.

Kenichi Kurihara, Tsuyoshi Murata, Taisuke Sato

Proceedings of the Large-Scale Knowledge Resources. Construction and Application, 2008

2007

Collapsed Variational Inference for HDP.

Yee Whye Teh, Kenichi Kurihara, Max Welling

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Collapsed Variational Dirichlet Process Mixture Models.

Kenichi Kurihara, Max Welling, Yee Whye Teh

Proceedings of the IJCAI 2007, 2007

Variational Bayes via Propositionalization.

Taisuke Sato, Yoshitaka Kameya, Kenichi Kurihara

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

2006

Bayesian K-Means as a "Maximization-Expectation" Algorithm.

Max Welling, Kenichi Kurihara

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Accelerated Variational Dirichlet Process Mixtures.

Kenichi Kurihara, Max Welling, Nikos Vlassis

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Variational Bayesian Grammar Induction for Natural Language.

Kenichi Kurihara, Taisuke Sato

Proceedings of the Grammatical Inference: Algorithms and Applications, 2006