| Stochastic complexities of Gaussian mixtures in variational Bayesian approximation K Watanabe, S Watanabe The Journal of Machine Learning Research 7, 625-644, 2006 | 71 | 2006 |
| Deterministic annealing variant of variational Bayes method K Katahira, K Watanabe, M Okada Journal of Physics: Conference Series 95 (1), 012015, 2008 | 67 | 2008 |
| Variational Bayesian learning theory S Nakajima, K Watanabe, M Sugiyama Cambridge University Press, 2019 | 45 | 2019 |
| Stochastic complexities of general mixture models in variational Bayesian learning K Watanabe, S Watanabe Neural Networks 20 (2), 210-219, 2007 | 26 | 2007 |
| Lower bounds of stochastic complexities in variational Bayes learning of Gaussian mixture models K Watanabe, S Watanabe Cybernetics and Intelligent Systems, 2004 IEEE Conference on 1, 99-104 vol. 1, 2004 | 24 | 2004 |
| Spectral-based contractible parallel coordinates K Nohno, HY Wu, K Watanabe, S Takahashi, I Fujishiro 2014 18th International Conference on Information Visualisation, 7-12, 2014 | 23 | 2014 |
| Bayesian properties of normalized maximum likelihood and its fast computation A Barron, T Roos, K Watanabe 2014 IEEE International Symposium on Information Theory, 1667-1671, 2014 | 22 | 2014 |
| Stochastic complexity of variational Bayesian hidden Markov models T Hosino, K Watanabe, S Watanabe Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005 | 22 | 2005 |
| Variational Bayesian mixture model on a subspace of exponential family distributions K Watanabe, S Akaho, S Omachi, M Okada IEEE transactions on neural networks 20 (11), 1783-1796, 2009 | 21 | 2009 |
| Upper bound for variational free energy of Bayesian networks K Watanabe, M Shiga, S Watanabe Machine Learning 75, 199-215, 2009 | 18 | 2009 |
| Biclustering multivariate data for correlated subspace mining K Watanabe, HY Wu, Y Niibe, S Takahashi, I Fujishiro 2015 IEEE pacific visualization symposium (PacificVis), 287-294, 2015 | 17 | 2015 |
| Variational Bayesian inference algorithms for infinite relational model of network data T Konishi, T Kubo, K Watanabe, K Ikeda IEEE Transactions on Neural Networks and Learning Systems 26 (9), 2176-2181, 2014 | 14 | 2014 |
| Packet loss rate estimation with active and passive measurements A Miyamoto, K Watanabe, K Ikeda Proceedings of The 2012 Asia Pacific Signal and Information Processing …, 2012 | 12 | 2012 |
| Divergence measures and a general framework for local variational approximation K Watanabe, M Okada, K Ikeda Neural Networks 24 (10), 1102-1109, 2011 | 11 | 2011 |
| Variational Bayesian stochastic complexity of mixture models K Watanabe, S Watanabe Advances in neural information processing systems 18, 2005 | 11 | 2005 |
| TimeTubes: Visual exploration of observed blazar datasets I Fujishiro, N Sawada, M Nakayama, HY Wu, K Watanabe, S Takahashi, ... Journal of Physics: Conference Series 1036 (1), 012011, 2018 | 10 | 2018 |
| Stochastic complexity for mixture of exponential families in variational bayes K Watanabe, S Watanabe International Conference on Algorithmic Learning Theory, 107-121, 2005 | 10 | 2005 |
| TimeTubes: Visualization of polarization variations in blazars M Uemura, R Itoh, L Xu, M Nakayama, HY Wu, K Watanabe, S Takahashi, ... Galaxies 4 (3), 23, 2016 | 9 | 2016 |
| Achievability of asymptotic minimax regret by horizon-dependent and horizon-independent strategies K Watanabe, T Roos The Journal of Machine Learning Research 16 (1), 2357-2375, 2015 | 9 | 2015 |
| Transfer matrix method for instantaneous spike rate estimation K Watanabe, H Tanaka, K Miura, M Okada IEICE TRANSACTIONS on Information and Systems 92 (7), 1362-1368, 2009 | 8 | 2009 |
Kazushi IKEDANara Institute of Science and TechnologyVerified email at is.naist.jp
