Takeru Matsuda

IEEE Trans. Inf. Theory, May, 2024

Modelling the discretization error of initial value problems using the Wishart distribution.

[BibT_eX]

[DOI]

Naoki Marumo

Appl. Math. Lett., January, 2024

Empirical Bayes Poisson matrix completion.

[BibT_eX]

[DOI]

Xiao Li

Comput. Stat. Data Anal., 2024

Polynomial approximation of noisy functions.

[BibT_eX]

[DOI]

Yuji Nakatsukasa

CoRR, 2024

Exploring Intra and Inter-language Consistency in Embeddings with ICA.

[BibT_eX]

[DOI]

Rongzhi Li

Hitomi Yanaka

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2022

Oscillator decomposition of infant fNIRS data.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2022

2021

Estimation of Ordinary Differential Equation Models with Discretization Error Quantification.

[BibT_eX]

[DOI]

SIAM/ASA J. Uncertain. Quantification, 2021

Information criteria for non-normalized models.

[BibT_eX]

[DOI]

Masatoshi Uehara

Aapo Hyvärinen

J. Mach. Learn. Res., 2021

Generalization of partitioned Runge-Kutta methods for adjoint systems.

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2021

Generalized nearly isotonic regression.

[BibT_eX]

[DOI]

CoRR, 2021

Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold.

[BibT_eX]

[DOI]

Wenkai Xu

Proceedings of the 38th International Conference on Machine Learning, 2021

Wasserstein Statistics in One-Dimensional Location-Scale Models.

[BibT_eX]

[DOI]

Shun-ichi Amari

Proceedings of the Geometric Science of Information - 5th International Conference, 2021

2020

Information geometry of operator scaling.

[BibT_eX]

[DOI]

Tasuku Soma

CoRR, 2020

A Stein Goodness-of-fit Test for Directional Distributions.

[BibT_eX]

[DOI]

Wenkai Xu

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Imputation estimators for unnormalized models with missing data.

[BibT_eX]

[DOI]

Masatoshi Uehara

Jae Kwang Kim

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

A Unified Statistically Efficient Estimation Framework for Unnormalized Models.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Harmonic Bayesian Prediction Under $\alpha$ -Divergence.

[BibT_eX]

[DOI]

Yuzo Maruyama

Toshio Ohnishi

IEEE Trans. Inf. Theory, 2019

Improved loss estimation for a normal mean matrix.

[BibT_eX]

[DOI]

William E. Strawderman

J. Multivar. Anal., 2019

Empirical Bayes matrix completion.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2019

Adjoint-based exact Hessian-vector multiplication using symplectic Runge-Kutta methods.

[BibT_eX]

[DOI]

Shin-Ichi Ito

CoRR, 2019

Unified estimation framework for unnormalized models with statistical efficiency.

[BibT_eX]

[DOI]

CoRR, 2019

Estimation of Non-Normalized Mixture Models.

[BibT_eX]

[DOI]

Aapo Hyvärinen

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Analysis of Noise Contrastive Estimation from the Perspective of Asymptotic Variance.

[BibT_eX]

[DOI]

Masatoshi Uehara

CoRR, 2018

Game-theoretic derivation of upper hedging prices of multivariate contingent claims and submodularity.

[BibT_eX]

[DOI]

Akimichi Takemura

CoRR, 2018

Estimation of Non-Normalized Mixture Models and Clustering Using Deep Representation.

[BibT_eX]

[DOI]

Aapo Hyvärinen

CoRR, 2018

2017

A point process modeling approach for investigating the effect of online brain activity on perceptual switching.

[BibT_eX]

[DOI]

NeuroImage, 2017

Multivariate Time Series Decomposition into Oscillation Components.

[BibT_eX]

[DOI]

Neural Comput., 2017

Time Series Decomposition into Oscillation Components and Phase Estimation.

[BibT_eX]

[DOI]

Neural Comput., 2017

Minimax Estimation of Quantum States Based on the Latent Information Priors.

[BibT_eX]

[DOI]

Takayuki Koyama

Entropy, 2017

2013

A new geometric integration approach based on local invariants.

[BibT_eX]

[DOI]