Kenichi Kurihara

Publication Activity (10 Years)

Years Active: 2006-2014
Publications (10 Years): 0

Top Topics

Variational Bayes

Top Venues

Publications

Kenichi Kurihara, Shu Tanaka, Seiji Miyashita
Quantum Annealing for Clustering. CoRR (2014)
Issei Sato, Kenichi Kurihara, Shu Tanaka, Hiroshi Nakagawa, Seiji Miyashita
Quantum Annealing for Variational Bayes Inference. CoRR (2014)
Issei Sato, Shu Tanaka, Kenichi Kurihara, Seiji Miyashita, Hiroshi Nakagawa
Quantum annealing for Dirichlet process mixture models with applications to network clustering. Neurocomputing 121 (2013)
Max Welling, Ian Porteous, Kenichi Kurihara
Exchangeable inconsistent priors for Bayesian posterior inference. ITA (2012)
Issei Sato, Kenichi Kurihara, Hiroshi Nakagawa
Practical collapsed variational bayes inference for hierarchical dirichlet process. KDD (2012)
Issei Sato, Kenichi Kurihara, Hiroshi Nakagawa
Deterministic Single-Pass Algorithm for LDA. NIPS (2010)
Issei Sato, Kenichi Kurihara, Shu Tanaka, Hiroshi Nakagawa, Seiji Miyashita
Quantum Annealing for Variational Bayes Inference CoRR (2009)
Kenichi Kurihara, Shu Tanaka, Seiji Miyashita
Quantum Annealing for Clustering. UAI (2009)
Issei Sato, Kenichi Kurihara, Shu Tanaka, Hiroshi Nakagawa, Seiji Miyashita
Quantum Annealing for Variational Bayes Inference. UAI (2009)
Kenichi Kurihara, Max Welling
-Means as a "Maximization-Expectation" Algorithm. Neural Comput. 21 (4) (2009)
Kenichi Kurihara, Shu Tanaka, Seiji Miyashita
Quantum Annealing for Clustering CoRR (2009)
Kenichi Kurihara, Tsuyoshi Murata, Taisuke Sato
Identification of MCMC Samples for Clustering. LKR (2008)
Taisuke Sato, Yoshitaka Kameya, Kenichi Kurihara
Variational Bayes via propositionalized probability computation in PRISM. Ann. Math. Artif. Intell. 54 (1-3) (2008)
Koji Tsuda, Kenichi Kurihara
Graph Mining with Variational Dirichlet Process Mixture Models. SDM (2008)
Taisuke Sato, Yoshitaka Kameya, Kenichi Kurihara
Variational Bayes via Propositionalization. Probabilistic, Logical and Relational Learning - A Further Synthesis (2007)
Kenichi Kurihara, Max Welling, Yee Whye Teh
Collapsed Variational Dirichlet Process Mixture Models. IJCAI (2007)
Yee Whye Teh, Kenichi Kurihara, Max Welling
Collapsed Variational Inference for HDP. NIPS (2007)
Kenichi Kurihara, Yoshitaka Kameya, Taisuke Sato
Discovering Concepts from Word Co-occurrences with a Relational Model. Inf. Media Technol. 2 (1) (2007)
Kenichi Kurihara, Taisuke Sato
Variational Bayesian Grammar Induction for Natural Language. ICGI (2006)
Kenichi Kurihara, Max Welling, Nikos A. Vlassis
Accelerated Variational Dirichlet Process Mixtures. NIPS (2006)
Max Welling, Kenichi Kurihara
Bayesian K-Means as a "Maximization-Expectation" Algorithm. SDM (2006)