Takeshi Teshima

发表

Clipped Matrix Completion: a Remedy for Ceiling Effects

Miao Xu, Masashi Sugiyama, Issei Sato, 2018, AAAI.

Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators pdf

Masashi Sugiyama, Takeshi Teshima, Kenta Oono, 2020, NeurIPS.

γ-ABC: Outlier-Robust Approximate Bayesian Computation based on Robust Divergence Estimator pdf

Issei Sato, Takeshi Teshima, Masahiro Fujisawa, 2020, ArXiv.

Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation pdf

Masahiro Kato, Takeshi Teshima, Takeshi Teshima, 2020, ICML.

Learning from Positive and Unlabeled Data with a Selection Bias

Masahiro Kato, Junya Honda, Takeshi Teshima, 2018, ICLR.

Universal Approximation Property of Neural Ordinary Differential Equations pdf

Takeshi Teshima, Kenta Oono, Masahiro Ikeda, 2020, ArXiv.

$\gamma$-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator

Issei Sato, Masashi Sugiyama, Takeshi Teshima, 2020 .

Few-shot Domain Adaptation by Causal Mechanism Transfer

Masashi Sugiyama, Takeshi Teshima, Issei Sato, 2020, ICML.

Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation

Masahiro Kato, Takeshi Teshima, Takeshi Teshima, 2020, ICML.

Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data Augmentation

Masashi Sugiyama, Takeshi Teshima, Masashi Sugiyama, 2021, UAI.

Rethinking Importance Weighting for Transfer Learning pdf

Masashi Sugiyama, Takeshi Teshima, Tongtong Fang, 2021, ArXiv.