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ORCIDKenichi Kurihara
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2010 – 2019
- 2014
[i5]Kenichi Kurihara, Shu Tanaka, Seiji Miyashita:
Quantum Annealing for Clustering. CoRR abs/1408.2035 (2014)- [i4]Issei Sato, Kenichi Kurihara, Shu Tanaka, Hiroshi Nakagawa, Seiji Miyashita:
Quantum Annealing for Variational Bayes Inference. CoRR abs/1408.2037 (2014) - 2013
- [j4]Issei Sato, Shu Tanaka, Kenichi Kurihara, Seiji Miyashita, Hiroshi Nakagawa:
Quantum annealing for Dirichlet process mixture models with applications to network clustering. Neurocomputing 121: 523-531 (2013) - 2012
- [c12]Max Welling, Ian Porteous, Kenichi Kurihara:
Exchangeable inconsistent priors for Bayesian posterior inference. ITA 2012: 407-414 - [c11]Issei Sato, Kenichi Kurihara, Hiroshi Nakagawa:
Practical collapsed variational bayes inference for hierarchical dirichlet process. KDD 2012: 105-113 - 2010
- [c10]Issei Sato, Kenichi Kurihara, Hiroshi Nakagawa:
Deterministic Single-Pass Algorithm for LDA. NIPS 2010: 2074-2082
2000 – 2009
- 2009
- [j3]Kenichi Kurihara, Max Welling:
Bayesian k-Means as a "Maximization-Expectation" Algorithm. Neural Comput. 21(4): 1145-1172 (2009) - [c9]Kenichi Kurihara, Shu Tanaka, Seiji Miyashita:
Quantum Annealing for Clustering. UAI 2009: 321-328 - [c8]Issei Sato, Kenichi Kurihara, Shu Tanaka, Hiroshi Nakagawa, Seiji Miyashita:
Quantum Annealing for Variational Bayes Inference. UAI 2009: 479-486 - [i3]Kenichi Kurihara, Shu Tanaka, Seiji Miyashita:
Quantum Annealing for Clustering. CoRR abs/0905.3527 (2009) - [i2]Issei Sato, Kenichi Kurihara, Shu Tanaka, Hiroshi Nakagawa, Seiji Miyashita:
Quantum Annealing for Variational Bayes Inference. CoRR abs/0905.3528 (2009) - 2008
- [j2]Taisuke Sato
, Yoshitaka Kameya, Kenichi Kurihara:
Variational Bayes via propositionalized probability computation in PRISM. Ann. Math. Artif. Intell. 54(1-3): 135-158 (2008) - [c7]Kenichi Kurihara, Tsuyoshi Murata, Taisuke Sato:
Identification of MCMC Samples for Clustering. LKR 2008: 27-37 - [c6]Koji Tsuda, Kenichi Kurihara:
Graph Mining with Variational Dirichlet Process Mixture Models. SDM 2008: 432-442 - 2007
- [j1]Kenichi Kurihara, Yoshitaka Kameya, Taisuke Sato:
Discovering Concepts from Word Co-occurrences with a Relational Model. Inf. Media Technol. 2(1): 317-325 (2007) - [c5]Kenichi Kurihara, Max Welling, Yee Whye Teh:
Collapsed Variational Dirichlet Process Mixture Models. IJCAI 2007: 2796-2801 - [c4]Yee Whye Teh, Kenichi Kurihara, Max Welling:
Collapsed Variational Inference for HDP. NIPS 2007: 1481-1488 - [i1]Taisuke Sato, Yoshitaka Kameya, Kenichi Kurihara:
Variational Bayes via Propositionalization. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007 - 2006
- [c3]Kenichi Kurihara, Taisuke Sato:
Variational Bayesian Grammar Induction for Natural Language. ICGI 2006: 84-96 - [c2]Kenichi Kurihara, Max Welling, Nikos Vlassis:
Accelerated Variational Dirichlet Process Mixtures. NIPS 2006: 761-768 - [c1]Max Welling, Kenichi Kurihara:
Bayesian K-Means as a "Maximization-Expectation" Algorithm. SDM 2006: 474-478
Coauthor Index
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