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Kazuho Watanabe
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2020 – today
- 2024
- [j24]Masahiro Kobayashi
, Kazuho Watanabe
Unbiased Estimating Equation and Latent Bias Under f-Separable Bregman Distortion Measures. IEEE Trans. Inf. Theory 70(8): 5763-5781 (2024) - [c31]Masahiro Kobayashi, Kazuho Watanabe:
Unbiased Estimating Equation on Inverse Divergence and its Conditions. ISIT 2024: 3618-3623 - [i7]Masahiro Kobayashi, Kazuho Watanabe:
Unbiased Estimating Equation on Inverse Divergence and Its Conditions. CoRR abs/2404.16519 (2024) - 2022
- [j23]Shigeo Takahashi
Gaze-driven placement of items for proactive visual exploration. J. Vis. 25(3): 613-633 (2022) - [c30]Akiharu Omae, Kazuho Watanabe
Approximate Empirical Bayes Estimation of the Regularization Parameter in ℓ1 Trend Filtering. ISIT 2022: 462-467 - 2021
- [j22]Masato Kikuchi, Kento Kawakami, Kazuho Watanabe
Unified Likelihood Ratio Estimation for High- to Zero-Frequency N-Grams. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 104-A(8): 1059-1074 (2021) - [j21]Masahiro Kobayashi
Generalized Dirichlet-process-means for f-separable distortion measures. Neurocomputing 458: 667-689 (2021) - [c29]Kazuho Watanabe
Statistical Learning of the Insensitive Parameter in Support Vector Models. ISIT 2021: 2501-2506 - [i6]Masato Kikuchi, Kento Kawakami, Kazuho Watanabe, Mitsuo Yoshida, Kyoji Umemura:
Unified Likelihood Ratio Estimation for High- to Zero-frequency N-grams. CoRR abs/2110.00946 (2021) - 2020
- [c28]Daisuke Kaji, Kazuho Watanabe
Multi-Decoder RNN Autoencoder Based on Variational Bayes Method. IJCNN 2020: 1-8 - [c27]Kazuho Watanabe
Discrete Optimal Reconstruction Distributions for Itakura-Saito Distortion Measure. ISIT 2020: 2399-2404 - [c26]Masahiro Kobayashi
Unbiased Estimation Equation under f-Separable Bregman Distortion Measures. ITW 2020: 1-5 - [c25]Shigeo Takahashi
Context-aware placement of items with gaze-based interaction. VINCI 2020: 12:1-12:8 - [i5]Daisuke Kaji, Kazuho Watanabe, Masahiro Kobayashi:
Multi-Decoder RNN Autoencoder Based on Variational Bayes Method. CoRR abs/2004.14016 (2020) - [i4]Masahiro Kobayashi, Kazuho Watanabe:
Unbiased Estimation Equation under $f$-Separable Bregman Distortion Measures. CoRR abs/2010.12286 (2020)
2010 – 2019
- 2019
- [c24]Kenta Konagayoshi, Kazuho Watanabe:
Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation. ACML 2019: 141-156 - [i3]Masahiro Kobayashi, Kazuho Watanabe:
Generalized Dirichlet-process-means for f-separable distortion measures. CoRR abs/1901.11331 (2019) - 2018
- [j20]Tsukasa Yoshida, Kazuho Watanabe
Empirical Bayes Estimation for L1 Regularization: A Detailed Analysis in the One-Parameter Lasso Model. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(12): 2184-2191 (2018) - [c23]Tsukasa Yoshida, Takafumi Moriya, Kazuho Watanabe
Automatic DNN Node Pruning Using Mixture Distribution-based Group Regularization. INTERSPEECH 2018: 1269-1273 - [c22]Ryota Konabe, Kazuho Watanabe
Sparse Regression Code with Sparse Dictionary for Absolute Error Criterion. ISIT 2018: 1515-1519 - [c21]Masahiro Kobayashi
Generalized Dirichlet-Process-Means for Robust and Maximum Distortion Criteria. ISITA 2018: 45-49 - 2017
- [j19]Kazuho Watanabe
Projection to Mixture Families and Rate-Distortion Bounds with Power Distortion Measures. Entropy 19(6): 262 (2017) - [j18]Kazuho Watanabe
Rate-Distortion Bounds for Kernel-Based Distortion Measures. Entropy 19(7): 336 (2017) - [c20]Hsiang-Yun Wu, Yusuke Niibe, Kazuho Watanabe
Making many-to-many parallel coordinate plots scalable by asymmetric biclustering. PacificVis 2017: 305-309 - [c19]Kazuho Watanabe
Rate-distortion tradeoffs under Kernel-based distortion measures. ISIT 2017: 1928-1932 - 2016
- [j17]Kazuho Watanabe
Rate-Distortion Bounds for ε-Insensitive Distortion Measures. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 99-A(1): 370-377 (2016) - [j16]Kazuho Watanabe
Rate-Distortion Functions for Gamma-Type Sources Under Absolute-Log Distortion Measure. IEEE Trans. Inf. Theory 62(10): 5496-5502 (2016) - [c18]Kazuho Watanabe
Constant-width rate-distortion bounds for power distortion measures. ITW 2016: 106-110 - 2015
- [j15]Kazuho Watanabe
Vector quantization based on ε-insensitive mixture models. Neurocomputing 165: 32-37 (2015) - [j14]Kazuho Watanabe, Teemu Roos:
Achievability of asymptotic minimax regret by horizon-dependent and horizon-independent strategies. J. Mach. Learn. Res. 16: 2357-2375 (2015) - [j13]Kazuho Watanabe
Entropic risk minimization for nonparametric estimation of mixing distributions. Mach. Learn. 99(1): 119-136 (2015) - [j12]Atsushi Miyamoto, Kazuho Watanabe
Variational Inference With ARD Prior for NIRS Diffuse Optical Tomography. IEEE Trans. Neural Networks Learn. Syst. 26(5): 1109-1114 (2015) - [j11]Takuya Konishi, Takatomi Kubo, Kazuho Watanabe
Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2176-2181 (2015) - [c17]Kazuho Watanabe
Biclustering multivariate data for correlated subspace mining. PacificVis 2015: 287-294 - 2014
- [c16]Andrew R. Barron, Teemu Roos
Bayesian properties of normalized maximum likelihood and its fast computation. ISIT 2014: 1667-1671 - [c15]Koto Nohno, Hsiang-Yun Wu, Kazuho Watanabe
Spectral-Based Contractible Parallel Coordinates. IV 2014: 7-12 - [c14]Shinichi Nakajima, Issei Sato, Masashi Sugiyama, Kazuho Watanabe, Hiroko Kobayashi:
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP. NIPS 2014: 1224-1232 - [i2]Andrew R. Barron, Teemu Roos
Bayesian Properties of Normalized Maximum Likelihood and its Fast Computation. CoRR abs/1401.7116 (2014) - 2013
- [c13]Kazuho Watanabe, Teemu Roos, Petri Myllymäki:
Achievability of Asymptotic Minimax Regret in Online and Batch Prediction. ACML 2013: 181-196 - [c12]Kazuho Watanabe
Vector Quantization Using Mixture of Epsilon-Insensitive Components. ICONIP (3) 2013: 85-92 - [c11]Kazuho Watanabe
Rate-distortion function for gamma sources under absolute-log distortion measure. ISIT 2013: 2557-2561 - [c10]Kazuho Watanabe
Rate-distortion bounds for an ε-insensitive distortion measure. ITW 2013: 1-5 - [i1]Kazuho Watanabe:
Rate-Distortion Bounds for an Epsilon-Insensitive Distortion Measure. CoRR abs/1302.6315 (2013) - 2012
- [j10]Kazuho Watanabe
An alternative view of variational Bayes and asymptotic approximations of free energy. Mach. Learn. 86(2): 273-293 (2012) - [c9]Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda:
Packet loss rate estimation with active and passive measurements. APSIPA 2012: 1-4 - 2011
- [j9]Kazuho Watanabe
Approximate Bayesian Estimation of Varying Binomial Process. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 94-A(12): 2879-2885 (2011) - [j8]Kazuho Watanabe
Divergence measures and a general framework for local variational approximation. Neural Networks 24(10): 1102-1109 (2011) - [c8]Atsushi Miyamoto, Kazuho Watanabe
Phase diagrams of a variational Bayesian approach with ARD prior in NIRS-DOT. IJCNN 2011: 1230-1236 - 2010
- [j7]Daisuke Kaji, Kazuho Watanabe, Sumio Watanabe:
Phase Transition of Variational Bayes Learning in Bernoulli Mixture. Aust. J. Intell. Inf. Process. Syst. 11(4) (2010)
2000 – 2009
- 2009
- [j6]Kazuho Watanabe, Hiroyuki Tanaka, Keiji Miura, Masato Okada:
Transfer Matrix Method for Instantaneous Spike Rate Estimation. IEICE Trans. Inf. Syst. 92-D(7): 1362-1368 (2009) - [j5]Kazuho Watanabe
Upper bound for variational free energy of Bayesian networks. Mach. Learn. 75(2): 199-215 (2009) - [j4]Kazuho Watanabe
Variational Bayesian Mixture Model on a Subspace of Exponential Family Distributions. IEEE Trans. Neural Networks 20(11): 1783-1796 (2009) - 2008
- [c7]Kazuho Watanabe
Firing Rate Estimation Using an Approximate Bayesian Method. ICONIP (1) 2008: 655-662 - [c6]Kazuho Watanabe, Shotaro Akaho, Masato Okada:
Clustering on a Subspace of Exponential Family Using Variational Bayes Method. ITSL 2008: 10-16 - 2007
- [j3]Kazuho Watanabe
Stochastic complexities of general mixture models in variational Bayesian learning. Neural Networks 20(2): 210-219 (2007) - [j2]Kazuho Watanabe
Stochastic complexity for mixture of exponential families in generalized variational Bayes. Theor. Comput. Sci. 387(1): 4-17 (2007) - 2006
- [j1]Kazuho Watanabe, Sumio Watanabe:
Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation. J. Mach. Learn. Res. 7: 625-644 (2006) - [c5]Tikara Hosino, Kazuho Watanabe, Sumio Watanabe:
Free Energy of Stochastic Context Free Grammar on Variational Bayes. ICONIP (1) 2006: 407-416 - [c4]Kazuho Watanabe, Motoki Shiga, Sumio Watanabe:
Upper Bounds for Variational Stochastic Complexities of Bayesian Networks. IDEAL 2006: 139-146 - 2005
- [c3]Kazuho Watanabe
Stochastic Complexity for Mixture of Exponential Families in Variational Bayes. ALT 2005: 107-121 - [c2]Kazuho Watanabe, Sumio Watanabe:
Variational Bayesian Stochastic Complexity of Mixture Models. NIPS 2005: 1465-1472 - 2004
- [c1]Kazuho Watanabe, Sumio Watanabe:
Estimation of the Data Region Using Extreme-Value Distributions. ALT 2004: 206-220
Coauthor Index
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