Takeru Matsuda

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 33

Top Topics

Spatial Constraints

Empirical Bayes

Top Venues

IEEE Trans. Inf. Theory

Publications

Rongzhi Li, Takeru Matsuda, Hitomi Yanaka
Exploring Intra and Inter-language Consistency in Embeddings with ICA. CoRR (2024)
Takeru Matsuda
Adapting to General Quadratic Loss via Singular Value Shrinkage. IEEE Trans. Inf. Theory 70 (5) (2024)
Xiao Li, Takeru Matsuda, Fumiyasu Komaki
Empirical Bayes Poisson matrix completion. Comput. Stat. Data Anal. 197 (2024)
Naoki Marumo, Takeru Matsuda, Yuto Miyatake
Modelling the discretization error of initial value problems using the Wishart distribution. Appl. Math. Lett. 147 (2024)
Naoki Marumo, Takeru Matsuda, Yuto Miyatake
Modelling the discretization error of initial value problems using the Wishart distribution. CoRR (2023)
Takeru Matsuda, Fumitaka Homae, Hama Watanabe, Gentaro Taga, Fumiyasu Komaki
Oscillator decomposition of infant fNIRS data. PLoS Comput. Biol. 18 (3) (2022)
Takeru Matsuda, Yuto Miyatake
Estimation of Ordinary Differential Equation Models with Discretization Error Quantification. SIAM/ASA J. Uncertain. Quantification 9 (1) (2021)
Wenkai Xu, Takeru Matsuda
Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold. ICML (2021)
Takeru Matsuda, Yuto Miyatake
Generalization of partitioned Runge-Kutta methods for adjoint systems. J. Comput. Appl. Math. 388 (2021)
Takeru Matsuda, Masatoshi Uehara, Aapo Hyvärinen
Information criteria for non-normalized models. J. Mach. Learn. Res. 22 (2021)
Shun-ichi Amari, Takeru Matsuda
Wasserstein Statistics in One-Dimensional Location-Scale Models. GSI (2021)
Takeru Matsuda, Yuto Miyatake
Generalized nearly isotonic regression. CoRR (2021)
Masatoshi Uehara, Takafumi Kanamori, Takashi Takenouchi, Takeru Matsuda
A Unified Statistically Efficient Estimation Framework for Unnormalized Models. AISTATS (2020)
Takeru Matsuda, Yuto Miyatake
Generalization of partitioned Runge-Kutta methods for adjoint systems. CoRR (2020)
Takeru Matsuda, Tasuku Soma
Information geometry of operator scaling. CoRR (2020)
Wenkai Xu, Takeru Matsuda
A Stein Goodness-of-fit Test for Directional Distributions. AISTATS (2020)
Masatoshi Uehara, Takeru Matsuda, Jae Kwang Kim
Imputation estimators for unnormalized models with missing data. AISTATS (2020)
Takeru Matsuda, Masatoshi Uehara, Aapo Hyvärinen
Information criteria for non-normalized models. CoRR (2019)
Takeru Matsuda, Yuto Miyatake
Estimation of ordinary differential equation models with discretization error quantification. CoRR (2019)
Takeru Matsuda, William E. Strawderman
Improved loss estimation for a normal mean matrix. J. Multivar. Anal. 169 (2019)
Shin-Ichi Ito, Takeru Matsuda, Yuto Miyatake
Adjoint-based exact Hessian-vector multiplication using symplectic Runge-Kutta methods. CoRR (2019)
Takeru Matsuda, Aapo Hyvärinen
Estimation of Non-Normalized Mixture Models. AISTATS (2019)
Takeru Matsuda, Fumiyasu Komaki
Empirical Bayes matrix completion. Comput. Stat. Data Anal. 137 (2019)
Masatoshi Uehara, Takeru Matsuda, Jae Kwang Kim
Imputation estimators for unnormalized models with missing data. CoRR (2019)
Yuzo Maruyama, Takeru Matsuda, Toshio Ohnishi
Harmonic Bayesian Prediction Under $\alpha$ -Divergence. IEEE Trans. Inf. Theory 65 (9) (2019)
Masatoshi Uehara, Takafumi Kanamori, Takashi Takenouchi, Takeru Matsuda
Unified estimation framework for unnormalized models with statistical efficiency. CoRR (2019)
Masatoshi Uehara, Takeru Matsuda, Fumiyasu Komaki
Analysis of Noise Contrastive Estimation from the Perspective of Asymptotic Variance. CoRR (2018)
Takeru Matsuda, Aapo Hyvärinen
Estimation of Non-Normalized Mixture Models and Clustering Using Deep Representation. CoRR (2018)
Takeru Matsuda, Akimichi Takemura
Game-theoretic derivation of upper hedging prices of multivariate contingent claims and submodularity. CoRR (2018)
Takeru Matsuda, Keiichi Kitajo, Yoko Yamaguchi, Fumiyasu Komaki
A point process modeling approach for investigating the effect of online brain activity on perceptual switching. NeuroImage 152 (2017)
Takeru Matsuda, Fumiyasu Komaki
Multivariate Time Series Decomposition into Oscillation Components. Neural Comput. 29 (8) (2017)
Takeru Matsuda, Fumiyasu Komaki
Time Series Decomposition into Oscillation Components and Phase Estimation. Neural Comput. 29 (2) (2017)
Takayuki Koyama, Takeru Matsuda, Fumiyasu Komaki
Minimax Estimation of Quantum States Based on the Latent Information Priors. Entropy 19 (11) (2017)
Takeru Matsuda, Takayasu Matsuo
A new geometric integration approach based on local invariants. JSIAM Lett. 5 (2013)