Takeshi Teshima
Takeshi Teshima
Verified email at ms.k.u-tokyo.ac.jp - Homepage
Title
Cited by
Cited by
Year
Learning from Positive and Unlabeled Data with a Selection Bias
M Kato, T Teshima, J Honda
Seventh International Conference on Learning Representations (ICLR 2019), 2019
232019
Few-shot domain adaptation by causal mechanism transfer
T Teshima, I Sato, M Sugiyama
International Conference on Machine Learning, 9458-9469, 2020
52020
Coupling-based invertible neural networks are universal diffeomorphism approximators
T Teshima, I Ishikawa, K Tojo, K Oono, M Ikeda, M Sugiyama
Advances in Neural Information Processing Systems 33, 2020
52020
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
M Kato, T Teshima
arXiv preprint arXiv:2006.06979, 2020
22020
Clipped Matrix Completion: a Remedy for Ceiling Effects
T Teshima, M Xu, I Sato, M Sugiyama
Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019
12019
Universal Approximation Property of Neural Ordinary Differential Equations
T Teshima, K Tojo, M Ikeda, I Ishikawa, K Oono
arXiv preprint arXiv:2012.02414, 2020
2020
-ABC: Outlier-Robust Approximate Bayesian Computation based on Robust Divergence Estimator
M Fujisawa, T Teshima, I Sato
arXiv preprint arXiv:2006.07571, 2020
2020
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Articles 1–7