Kenichi Kurihara

	2012
16		Max Welling, Ian Porteous, Kenichi Kurihara: Exchangeable inconsistent priors for Bayesian posterior inference. ITA 2012: 407-414
	2010
15		Issei Sato, Kenichi Kurihara, Hiroshi Nakagawa: Deterministic Single-Pass Algorithm for LDA. NIPS 2010: 2074-2082
	2009
14		Kenichi Kurihara, Shu Tanaka, Seiji Miyashita: Quantum Annealing for Clustering. UAI 2009: 321-328
13		Issei Sato, Kenichi Kurihara, Shu Tanaka, Hiroshi Nakagawa, Seiji Miyashita: Quantum Annealing for Variational Bayes Inference. UAI 2009: 479-486
12		Kenichi Kurihara, Shu Tanaka, Seiji Miyashita: Quantum Annealing for Clustering CoRR abs/0905.3527: (2009)
11		Issei Sato, Kenichi Kurihara, Shu Tanaka, Hiroshi Nakagawa, Seiji Miyashita: Quantum Annealing for Variational Bayes Inference CoRR abs/0905.3528: (2009)
10		Kenichi Kurihara, Max Welling: Bayesian k-Means as a "Maximization-Expectation" Algorithm. Neural Computation 21(4): 1145-1172 (2009)
	2008
9		Kenichi Kurihara, Tsuyoshi Murata, Taisuke Sato: Identification of MCMC Samples for Clustering. LKR 2008: 27-37
8		Koji Tsuda, Kenichi Kurihara: Graph Mining with Variational Dirichlet Process Mixture Models. SDM 2008: 432-442
7		Taisuke Sato, Yoshitaka Kameya, Kenichi Kurihara: Variational Bayes via propositionalized probability computation in PRISM. Ann. Math. Artif. Intell. 54(1-3): 135-158 (2008)
	2007
6		Kenichi Kurihara, Max Welling, Yee Whye Teh: Collapsed Variational Dirichlet Process Mixture Models. IJCAI 2007: 2796-2801
5		Yee Whye Teh, Kenichi Kurihara, Max Welling: Collapsed Variational Inference for HDP. NIPS 2007
4		Taisuke Sato, Yoshitaka Kameya, Kenichi Kurihara: Variational Bayes via Propositionalization. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007
	2006
3		Kenichi Kurihara, Taisuke Sato: Variational Bayesian Grammar Induction for Natural Language. ICGI 2006: 84-96
2		Kenichi Kurihara, Max Welling, Nikos A. Vlassis: Accelerated Variational Dirichlet Process Mixtures. NIPS 2006: 761-768
1		Max Welling, Kenichi Kurihara: Bayesian K-Means as a "Maximization-Expectation" Algorithm. SDM 2006

Coauthor Index

1	Yoshitaka Kameya	[4] [7]
2	Seiji Miyashita	[11] [12] [13] [14]
3	Tsuyoshi Murata	[9]
4	Hiroshi Nakagawa	[11] [13] [15]
5	Ian Porteous	[16]
6	Issei Sato	[11] [13] [15]
7	Taisuke Sato	[3] [4] [7] [9]
8	Shu Tanaka	[11] [12] [13] [14]
9	Yee Whye Teh	[5] [6]
10	Koji Tsuda	[8]
11	Nikos A. Vlassis	[2]
12	Max Welling	[1] [2] [5] [6] [10] [16]

Colors in the list of coauthors

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