Kazuho Watanabe

66 papers A 1B 19C 6Journal 33Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Empirical Bayes Estimation for Lasso-Type Regularizers and Its Consistency. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Tsukasa Yoshida, Kazuho Watanabe
2025	B	`conf`	Empirical Bayes Estimation for Lasso-Type Regularizers: Analysis of Automatic Relevance Determination. ISIT Tsukasa Yoshida, Kazuho Watanabe
2025	J	`jnl`	Empirical Bayes Estimation for Lasso-Type Regularizers: Analysis of Automatic Relevance Determination. CoRR Tsukasa Yoshida, Kazuho Watanabe
2024	J	`jnl`	Unbiased Estimating Equation and Latent Bias Under f-Separable Bregman Distortion Measures. IEEE Trans. Inf. Theory Masahiro Kobayashi, Kazuho Watanabe
2024	J	`jnl`	Unbiased Estimating Equation on Inverse Divergence and Its Conditions. CoRR Masahiro Kobayashi, Kazuho Watanabe
2024	B	`conf`	Unbiased Estimating Equation on Inverse Divergence and its Conditions. ISIT Masahiro Kobayashi, Kazuho Watanabe
2022	B	`conf`	Approximate Empirical Bayes Estimation of the Regularization Parameter in ℓ1 Trend Filtering. ISIT Akiharu Omae, Kazuho Watanabe
2022	J	`jnl`	Gaze-driven placement of items for proactive visual exploration. J. Vis. Shigeo Takahashi, Akane Uchita, Kazuho Watanabe, Masatoshi Arikawa
2021	J	`jnl`	Generalized Dirichlet-process-means for Neurocomputing Masahiro Kobayashi, Kazuho Watanabe
2021	B	`conf`	Statistical Learning of the Insensitive Parameter in Support Vector Models. ISIT Kazuho Watanabe
2021	J	`jnl`	Unified Likelihood Ratio Estimation for High- to Zero-Frequency IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Masato Kikuchi, Kento Kawakami, Kazuho Watanabe, Mitsuo Yoshida, Kyoji Umemura
2021	J	`jnl`	Unified Likelihood Ratio Estimation for High- to Zero-frequency N-grams. CoRR Masato Kikuchi, Kento Kawakami, Kazuho Watanabe, Mitsuo Yoshida, Kyoji Umemura
2020	C	`conf`	Context-aware placement of items with gaze-based interaction. VINCI Shigeo Takahashi, Akane Uchita, Kazuho Watanabe, Masatoshi Arikawa
2020	B	`conf`	Discrete Optimal Reconstruction Distributions for Itakura-Saito Distortion Measure. ISIT Kazuho Watanabe
2020	B	`conf`	Multi-Decoder RNN Autoencoder Based on Variational Bayes Method. IJCNN Daisuke Kaji, Kazuho Watanabe, Masahiro Kobayashi
2020	J	`jnl`	Multi-Decoder RNN Autoencoder Based on Variational Bayes Method. CoRR Daisuke Kaji, Kazuho Watanabe, Masahiro Kobayashi
2020	J	`jnl`	Unbiased Estimation Equation under $f$-Separable Bregman Distortion Measures. CoRR Masahiro Kobayashi, Kazuho Watanabe
2020	B	`conf`	Unbiased Estimation Equation under f-Separable Bregman Distortion Measures. ITW Masahiro Kobayashi, Kazuho Watanabe
2019	J	`jnl`	Generalized Dirichlet-process-means for f-separable distortion measures. CoRR Masahiro Kobayashi, Kazuho Watanabe
2019	C	`conf`	Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation. ACML Kenta Konagayoshi, Kazuho Watanabe
2018	A	`conf`	Automatic DNN Node Pruning Using Mixture Distribution-based Group Regularization. INTERSPEECH Tsukasa Yoshida, Takafumi Moriya, Kazuho Watanabe, Yusuke Shinohara, Yoshikazu Yamaguchi, Yushi Aono
2018	J	`jnl`	Empirical Bayes Estimation for IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Tsukasa Yoshida, Kazuho Watanabe
2018	C	`conf`	Generalized Dirichlet-Process-Means for Robust and Maximum Distortion Criteria. ISITA Masahiro Kobayashi, Kazuho Watanabe
2018	B	`conf`	Sparse Regression Code with Sparse Dictionary for Absolute Error Criterion. ISIT Ryota Konabe, Kazuho Watanabe
2017	B	`conf`	Making many-to-many parallel coordinate plots scalable by asymmetric biclustering. PacificVis Hsiang-Yun Wu, Yusuke Niibe, Kazuho Watanabe, Shigeo Takahashi, Makoto Uemura, Issei Fujishiro
2017	J	`jnl`	Projection to Mixture Families and Rate-Distortion Bounds with Power Distortion Measures. Entropy Kazuho Watanabe
2017	J	`jnl`	Rate-Distortion Bounds for Kernel-Based Distortion Measures. Entropy Kazuho Watanabe
2017	B	`conf`	Rate-distortion tradeoffs under Kernel-based distortion measures. ISIT Kazuho Watanabe
2016	B	`conf`	Constant-width rate-distortion bounds for power distortion measures. ITW Kazuho Watanabe
2016	J	`jnl`	Rate-Distortion Bounds for IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Kazuho Watanabe
2016	J	`jnl`	Rate-Distortion Functions for Gamma-Type Sources Under Absolute-Log Distortion Measure. IEEE Trans. Inf. Theory Kazuho Watanabe, Shiro Ikeda
2015	J	`jnl`	Achievability of asymptotic minimax regret by horizon-dependent and horizon-independent strategies. J. Mach. Learn. Res. Kazuho Watanabe, Teemu Roos
2015	B	`conf`	Biclustering multivariate data for correlated subspace mining. PacificVis Kazuho Watanabe, Hsiang-Yun Wu, Yusuke Niibe, Shigeo Takahashi, Issei Fujishiro
2015	J	`jnl`	Entropic risk minimization for nonparametric estimation of mixing distributions. Mach. Learn. Kazuho Watanabe, Shiro Ikeda
2015	J	`jnl`	Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data. IEEE Trans. Neural Networks Learn. Syst. Takuya Konishi, Takatomi Kubo, Kazuho Watanabe, Kazushi Ikeda
2015	J	`jnl`	Variational Inference With ARD Prior for NIRS Diffuse Optical Tomography. IEEE Trans. Neural Networks Learn. Syst. Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, Masa-aki Sato
2015	J	`jnl`	Vector quantization based on ε-insensitive mixture models. Neurocomputing Kazuho Watanabe
2014	—	`conf`	Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP. NIPS Shinichi Nakajima, Issei Sato, Masashi Sugiyama, Kazuho Watanabe, Hiroko Kobayashi
2014	J	`jnl`	Bayesian Properties of Normalized Maximum Likelihood and its Fast Computation. CoRR Andrew R. Barron, Teemu Roos, Kazuho Watanabe
2014	B	`conf`	Bayesian properties of normalized maximum likelihood and its fast computation. ISIT Andrew R. Barron, Teemu Roos, Kazuho Watanabe
2014	C	`conf`	Spectral-Based Contractible Parallel Coordinates. IV Koto Nohno, Hsiang-Yun Wu, Kazuho Watanabe, Shigeo Takahashi, Issei Fujishiro
2013	C	`conf`	Achievability of Asymptotic Minimax Regret in Online and Batch Prediction. ACML Kazuho Watanabe, Teemu Roos, Petri Myllymäki
2013	J	`jnl`	Rate-Distortion Bounds for an Epsilon-Insensitive Distortion Measure CoRR Kazuho Watanabe
2013	B	`conf`	Rate-distortion bounds for an ε-insensitive distortion measure. ITW Kazuho Watanabe
2013	B	`conf`	Rate-distortion function for gamma sources under absolute-log distortion measure. ISIT Kazuho Watanabe, Shiro Ikeda
2013	—	`conf`	Vector Quantization Using Mixture of Epsilon-Insensitive Components. ICONIP (3) Kazuho Watanabe
2012	J	`jnl`	An alternative view of variational Bayes and asymptotic approximations of free energy. Mach. Learn. Kazuho Watanabe
2012	—	`conf`	Packet loss rate estimation with active and passive measurements. APSIPA Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda
2011	J	`jnl`	Approximate Bayesian Estimation of Varying Binomial Process. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Kazuho Watanabe, Masato Okada
2011	J	`jnl`	Divergence measures and a general framework for local variational approximation. Neural Networks Kazuho Watanabe, Masato Okada, Kazushi Ikeda
2011	B	`conf`	Phase diagrams of a variational Bayesian approach with ARD prior in NIRS-DOT. IJCNN Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, Masa-aki Sato
2010	J	`jnl`	Phase Transition of Variational Bayes Learning in Bernoulli Mixture. Aust. J. Intell. Inf. Process. Syst. Daisuke Kaji, Kazuho Watanabe, Sumio Watanabe
2009	J	`jnl`	Transfer Matrix Method for Instantaneous Spike Rate Estimation. IEICE Trans. Inf. Syst. Kazuho Watanabe, Hiroyuki Tanaka, Keiji Miura, Masato Okada
2009	J	`jnl`	Upper bound for variational free energy of Bayesian networks. Mach. Learn. Kazuho Watanabe, Motoki Shiga, Sumio Watanabe
2009	J	`jnl`	Variational Bayesian Mixture Model on a Subspace of Exponential Family Distributions. IEEE Trans. Neural Networks Kazuho Watanabe, Shotaro Akaho, Shinichiro Omachi, Masato Okada
2008	—	`conf`	Clustering on a Subspace of Exponential Family Using Variational Bayes Method. ITSL Kazuho Watanabe, Shotaro Akaho, Masato Okada
2008	—	`conf`	Firing Rate Estimation Using an Approximate Bayesian Method. ICONIP (1) Kazuho Watanabe, Masato Okada
2007	J	`jnl`	Stochastic complexities of general mixture models in variational Bayesian learning. Neural Networks Kazuho Watanabe, Sumio Watanabe
2007	J	`jnl`	Stochastic complexity for mixture of exponential families in generalized variational Bayes. Theor. Comput. Sci. Kazuho Watanabe, Sumio Watanabe
2006	—	`conf`	Free Energy of Stochastic Context Free Grammar on Variational Bayes. ICONIP (1) Tikara Hosino, Kazuho Watanabe, Sumio Watanabe
2006	J	`jnl`	Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation. J. Mach. Learn. Res. Kazuho Watanabe, Sumio Watanabe
2006	C	`conf`	Upper Bounds for Variational Stochastic Complexities of Bayesian Networks. IDEAL Kazuho Watanabe, Motoki Shiga, Sumio Watanabe
2005	B	`conf`	Stochastic Complexity for Mixture of Exponential Families in Variational Bayes. ALT Kazuho Watanabe, Sumio Watanabe
2005	B	`conf`	Stochastic complexity of variational Bayesian hidden Markov models. IJCNN Tikara Hosino, Kazuho Watanabe, Sumio Watanabe
2005	—	`conf`	Variational Bayesian Stochastic Complexity of Mixture Models. NIPS Kazuho Watanabe, Sumio Watanabe
2004	B	`conf`	Estimation of the Data Region Using Extreme-Value Distributions. ALT Kazuho Watanabe, Sumio Watanabe