| Collapsed Variational Dirichlet Process Mixture Models. K Kurihara, M Welling, YW Teh IJCAI 7, 2796-2801, 2007 | 258 | 2007 |
| Collapsed variational inference for HDP Y Teh, K Kurihara, M Welling Advances in neural information processing systems 20, 2007 | 212 | 2007 |
| Accelerated variational Dirichlet process mixtures K Kurihara, M Welling, N Vlassis Advances in neural information processing systems 19, 2006 | 198 | 2006 |
| Bayesian K-means as a “maximization-expectation” algorithm M Welling, K Kurihara Proceedings of the 2006 SIAM international conference on data mining, 474-478, 2006 | 79 | 2006 |
| Variational Bayesian grammar induction for natural language K Kurihara, T Sato International Colloquium on Grammatical Inference, 84-96, 2006 | 73 | 2006 |
| Bayesian k-Means as a “Maximization-Expectation” Algorithm K Kurihara, M Welling Neural computation 21 (4), 1145-1172, 2009 | 55 | 2009 |
| An application of the variational Bayesian approach to probabilistic context-free grammars K Kurihara, T Sato International Joint Conference on Natural Language Processing Workshop …, 2004 | 43 | 2004 |
| Quantum annealing for clustering K Kurihara, S Tanaka, S Miyashita arXiv preprint arXiv:1408.2035, 2014 | 32 | 2014 |
| Practical collapsed variational Bayes inference for hierarchical Dirichlet process I Sato, K Kurihara, H Nakagawa Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 31 | 2012 |
| Graph mining with variational dirichlet process mixture models K Tsuda, K Kurihara Proceedings of the 2008 SIAM International Conference on Data Mining, 432-442, 2008 | 30 | 2008 |
| Variational Bayes via propositionalized probability computation in PRISM T Sato, Y Kameya, K Kurihara Annals of Mathematics and Artificial Intelligence 54 (1), 135-158, 2008 | 29 | 2008 |
| Deterministic single-pass algorithm for LDA I Sato, K Kurihara, H Nakagawa Advances in neural information processing systems 23, 2010 | 25 | 2010 |
| Quantum annealing for variational Bayes inference I Sato, K Kurihara, S Tanaka, H Nakagawa, S Miyashita arXiv preprint arXiv:0905.3528, 2009 | 24 | 2009 |
| Quantum annealing for Dirichlet process mixture models with applications to network clustering I Sato, S Tanaka, K Kurihara, S Miyashita, H Nakagawa Neurocomputing 121, 523-531, 2013 | 21 | 2013 |
| A frequency-based stochastic blockmodel K Kurihara, Y Kameya, T Sato Bernoulli (R (e1, e2) 1 (1), N2, 2006 | 16 | 2006 |
| Discovering concepts from word co-occurrences with a relational model K Kurihara, Y Kameya, T Sato Transactions of the Japanese Society for Artificial Intelligence 22 (2), 218-226, 2007 | 10 | 2007 |
| Exchangeable inconsistent priors for Bayesian posterior inference M Welling, I Porteous, K Kurihara 2012 Information Theory and Applications Workshop, 407-414, 2012 | 2 | 2012 |
| Probabilistic, Logical and Relational Learning-A Further Synthesis L De Raedt, T Dietterich, L Getoor, K Kersting, SH Muggleton, B Hammer, ... IBFI, Schloss Dagstuhl, 2008 | 2 | 2008 |
| Efficient grammar induction algorithm with parse forests from real corpora K Kurihara, Y Kameya, T Sato Transactions of the Japanese Society for Artificial Intelligence 19 (5), 360-367, 2004 | 1 | 2004 |
| Hybrid Quantum Annealing for Clustering Problems S Tanaka, R Tamura, I Sato, K Kurihara Diversities in Quantum Computation and Quantum Information, 169-192, 2013 | | 2013 |
Max WellingDistinguished Scientist at MSR AI4Science & Professor Machine Learning, University of AmsterdamVerified email at uva.nl
