Takeru Matsuda

39 papers A* 2A 4Journal 32Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Minimaxity under the half-Cauchy prior. J. Multivar. Anal. Yuzo Maruyama, Takeru Matsuda
2025	J	`jnl`	Polynomial approximation of noisy functions. Numerische Mathematik Takeru Matsuda, Yuji Nakatsukasa
2024	J	`jnl`	Adapting to General Quadratic Loss via Singular Value Shrinkage. IEEE Trans. Inf. Theory Takeru Matsuda
2024	J	`jnl`	Empirical Bayes Poisson matrix completion. Comput. Stat. Data Anal. Xiao Li, Takeru Matsuda, Fumiyasu Komaki
2024	A*	`conf`	Exploring Intra and Inter-language Consistency in Embeddings with ICA. EMNLP Rongzhi Li, Takeru Matsuda, Hitomi Yanaka
2024	J	`jnl`	Exploring Intra and Inter-language Consistency in Embeddings with ICA. CoRR Rongzhi Li, Takeru Matsuda, Hitomi Yanaka
2024	J	`jnl`	Modelling the discretization error of initial value problems using the Wishart distribution. Appl. Math. Lett. Naoki Marumo, Takeru Matsuda, Yuto Miyatake
2024	J	`jnl`	Polynomial approximation of noisy functions. CoRR Takeru Matsuda, Yuji Nakatsukasa
2024	J	`jnl`	Quantifying uncertainty in the numerical integration of evolution equations based on Bayesian isotonic regression. CoRR Yuto Miyatake, Kaoru Irie, Takeru Matsuda
2023	J	`jnl`	Modelling the discretization error of initial value problems using the Wishart distribution. CoRR Naoki Marumo, Takeru Matsuda, Yuto Miyatake
2022	J	`jnl`	Oscillator decomposition of infant fNIRS data. PLoS Comput. Biol. Takeru Matsuda, Fumitaka Homae, Hama Watanabe, Gentaro Taga, Fumiyasu Komaki
2021	J	`jnl`	Estimation of Ordinary Differential Equation Models with Discretization Error Quantification. SIAM/ASA J. Uncertain. Quantification Takeru Matsuda, Yuto Miyatake
2021	J	`jnl`	Generalization of partitioned Runge-Kutta methods for adjoint systems. J. Comput. Appl. Math. Takeru Matsuda, Yuto Miyatake
2021	J	`jnl`	Generalized nearly isotonic regression. CoRR Takeru Matsuda, Yuto Miyatake
2021	J	`jnl`	Information criteria for non-normalized models. J. Mach. Learn. Res. Takeru Matsuda, Masatoshi Uehara, Aapo Hyvärinen
2021	A*	`conf`	Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold. ICML Wenkai Xu, Takeru Matsuda
2021	—	`conf`	Wasserstein Statistics in One-Dimensional Location-Scale Models. GSI Shun-ichi Amari, Takeru Matsuda
2020	A	`conf`	A Stein Goodness-of-fit Test for Directional Distributions. AISTATS Wenkai Xu, Takeru Matsuda
2020	A	`conf`	A Unified Statistically Efficient Estimation Framework for Unnormalized Models. AISTATS Masatoshi Uehara, Takafumi Kanamori, Takashi Takenouchi, Takeru Matsuda
2020	J	`jnl`	Generalization of partitioned Runge-Kutta methods for adjoint systems. CoRR Takeru Matsuda, Yuto Miyatake
2020	A	`conf`	Imputation estimators for unnormalized models with missing data. AISTATS Masatoshi Uehara, Takeru Matsuda, Jae Kwang Kim
2020	J	`jnl`	Information geometry of operator scaling. CoRR Takeru Matsuda, Tasuku Soma
2019	J	`jnl`	Adjoint-based exact Hessian-vector multiplication using symplectic Runge-Kutta methods. CoRR Shin-Ichi Ito, Takeru Matsuda, Yuto Miyatake
2019	J	`jnl`	Empirical Bayes matrix completion. Comput. Stat. Data Anal. Takeru Matsuda, Fumiyasu Komaki
2019	A	`conf`	Estimation of Non-Normalized Mixture Models. AISTATS Takeru Matsuda, Aapo Hyvärinen
2019	J	`jnl`	Estimation of ordinary differential equation models with discretization error quantification. CoRR Takeru Matsuda, Yuto Miyatake
2019	J	`jnl`	Harmonic Bayesian Prediction Under $\alpha$ -Divergence. IEEE Trans. Inf. Theory Yuzo Maruyama, Takeru Matsuda, Toshio Ohnishi
2019	J	`jnl`	Improved loss estimation for a normal mean matrix. J. Multivar. Anal. Takeru Matsuda, William E. Strawderman
2019	J	`jnl`	Imputation estimators for unnormalized models with missing data. CoRR Masatoshi Uehara, Takeru Matsuda, Jae Kwang Kim
2019	J	`jnl`	Information criteria for non-normalized models. CoRR Takeru Matsuda, Masatoshi Uehara, Aapo Hyvärinen
2019	J	`jnl`	Unified estimation framework for unnormalized models with statistical efficiency. CoRR Masatoshi Uehara, Takafumi Kanamori, Takashi Takenouchi, Takeru Matsuda
2018	J	`jnl`	Analysis of Noise Contrastive Estimation from the Perspective of Asymptotic Variance. CoRR Masatoshi Uehara, Takeru Matsuda, Fumiyasu Komaki
2018	J	`jnl`	Estimation of Non-Normalized Mixture Models and Clustering Using Deep Representation. CoRR Takeru Matsuda, Aapo Hyvärinen
2018	J	`jnl`	Game-theoretic derivation of upper hedging prices of multivariate contingent claims and submodularity. CoRR Takeru Matsuda, Akimichi Takemura
2017	J	`jnl`	A point process modeling approach for investigating the effect of online brain activity on perceptual switching. NeuroImage Takeru Matsuda, Keiichi Kitajo, Yoko Yamaguchi, Fumiyasu Komaki
2017	J	`jnl`	Minimax Estimation of Quantum States Based on the Latent Information Priors. Entropy Takayuki Koyama, Takeru Matsuda, Fumiyasu Komaki
2017	J	`jnl`	Multivariate Time Series Decomposition into Oscillation Components. Neural Comput. Takeru Matsuda, Fumiyasu Komaki
2017	J	`jnl`	Time Series Decomposition into Oscillation Components and Phase Estimation. Neural Comput. Takeru Matsuda, Fumiyasu Komaki
2013	J	`jnl`	A new geometric integration approach based on local invariants. JSIAM Lett. Takeru Matsuda, Takayasu Matsuo