Ikko Yamane
Ikko Yamane
Université Paris Dauphine - PSL/RIKEN
Verified email at dauphine.psl.eu - Homepage
Title
Cited by
Cited by
Year
Do we need zero training loss after achieving zero training error?
T Ishida, I Yamane, T Sakai, G Niu, M Sugiyama
arXiv preprint arXiv:2002.08709, 2020
322020
Uplift modeling from separate labels
I Yamane, F Yger, J Atif, M Sugiyama
arXiv preprint arXiv:1803.05112, 2018
112018
Multitask principal component analysis
I Yamane, F Yger, M Berar, M Sugiyama
Asian Conference on Machine Learning, 302-317, 2016
62016
A one-step approach to covariate shift adaptation
T Zhang, I Yamane, N Lu, M Sugiyama
Asian Conference on Machine Learning, 65-80, 2020
42020
Regularized multitask learning for multidimensional log-density gradient estimation
I Yamane, H Sasaki, M Sugiyama
Neural computation 28 (7), 1388-1410, 2016
42016
Regularized multi-task learning for multi-dimensional log-density gradient estimation
I Yamane, H Sasaki, M Sugiyama
arXiv preprint arXiv:1508.00085, 2015
22015
A Fourier-Analytic Approach to List-Decoding for Sparse Random Linear Codes
A Kawachi, I Yamane
IEICE TRANSACTIONS on Information and Systems 98 (3), 532-540, 2015
12015
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences
I Yamane, J Honda, F Yger, M Sugiyama
International Conference on Machine Learning, 11637-11647, 2021
2021
A One-Step Approach to Covariate Shift Adaptation
T Zhang, I Yamane, N Lu, M Sugiyama
SN Computer Science 2 (4), 1-12, 2021
2021
Regularized multi-task learning for multi-dimensional log-density gradient estimation (情報論的学習理論と機械学習 情報論的学習理論ワークショップ)
I YAMANE, H SASAKI, M SUGIYAMA
電子情報通信学会技術研究報告= IEICE technical report: 信学技報 114 (306 …, 2014
2014
Regularized multi-task learning for multi-dimensional log-density gradient estimation
I Yamane, H Sasaki, M Sugiyama
IEICE Technical Report; IEICE Tech. Rep. 114 (306), 177-183, 2014
2014
Do We Need Zero Training Loss After Achieving Zero Training Error? Open Website
T Ishida, I Yamane, T Sakai, G Niu, M Sugiyama
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Articles 1–12