Matsushita, Yukitoshi; Otsu, Taisuke; Takahata, Keisuke Estimating density ratio of marginals to joint: applications to causal inference. (English) Zbl 07813296 J. Bus. Econ. Stat. 41, No. 2, 467-481 (2023). MSC: 62P20 PDFBibTeX XMLCite \textit{Y. Matsushita} et al., J. Bus. Econ. Stat. 41, No. 2, 467--481 (2023; Zbl 07813296) Full Text: DOI OA License
Nakajima, Shota; Sugiyama, Masashi Positive-unlabeled classification under class-prior shift: a prior-invariant approach based on density ratio estimation. (English) Zbl 07702689 Mach. Learn. 112, No. 3, 889-919 (2023). MSC: 68T05 PDFBibTeX XMLCite \textit{S. Nakajima} and \textit{M. Sugiyama}, Mach. Learn. 112, No. 3, 889--919 (2023; Zbl 07702689) Full Text: DOI arXiv
Feng, Runhuan; Li, Peng Sample recycling method – a new approach to efficient nested Monte Carlo simulations. (English) Zbl 1492.91423 Insur. Math. Econ. 105, 336-359 (2022). MSC: 91G60 91G05 PDFBibTeX XMLCite \textit{R. Feng} and \textit{P. Li}, Insur. Math. Econ. 105, 336--359 (2022; Zbl 1492.91423) Full Text: DOI arXiv
Gizewski, Elke R.; Mayer, Lukas; Moser, Bernhard A.; Nguyen, Duc Hoan; Pereverzyev, Sergiy; Pereverzyev, Sergei V.; Shepeleva, Natalia; Zellinger, Werner On a regularization of unsupervised domain adaptation in RKHS. (English) Zbl 07472536 Appl. Comput. Harmon. Anal. 57, 201-227 (2022). MSC: 68-XX 65-XX PDFBibTeX XMLCite \textit{E. R. Gizewski} et al., Appl. Comput. Harmon. Anal. 57, 201--227 (2022; Zbl 07472536) Full Text: DOI
Sakai, Tomoya; Niu, Gang; Sugiyama, Masashi Information-theoretic representation learning for positive-unlabeled classification. (English) Zbl 1520.68157 Neural Comput. 33, No. 1, 244-268 (2021). MSC: 68T05 62H30 68T07 94A15 PDFBibTeX XMLCite \textit{T. Sakai} et al., Neural Comput. 33, No. 1, 244--268 (2021; Zbl 1520.68157) Full Text: DOI arXiv
Blanchard, Gilles; Deshmukh, Aniket Anand; Dogan, Urun; Lee, Gyemin; Scott, Clayton Domain generalization by marginal transfer learning. (English) Zbl 07370519 J. Mach. Learn. Res. 22, Paper No. 2, 55 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{G. Blanchard} et al., J. Mach. Learn. Res. 22, Paper No. 2, 55 p. (2021; Zbl 07370519) Full Text: arXiv Link
Liang, Muxuan; Zhao, Ying-Qi Discussion of: “More efficient policy learning via optimal retargeting” and “Learning optimal distributionally robust individualized treatment rules”. (English) Zbl 1464.62453 J. Am. Stat. Assoc. 116, No. 534, 690-693 (2021). MSC: 62P10 62D20 PDFBibTeX XMLCite \textit{M. Liang} and \textit{Y.-Q. Zhao}, J. Am. Stat. Assoc. 116, No. 534, 690--693 (2021; Zbl 1464.62453) Full Text: DOI
Rommel, Cédric; Bonnans, J. Frédéric; Gregorutti, Baptiste; Martinon, Pierre Quantifying the closeness to a set of random curves via the mean marginal likelihood. (English) Zbl 1466.62288 ESAIM, Probab. Stat. 25, 1-30 (2021). MSC: 62G07 62G05 62P30 62M09 62R10 60B05 PDFBibTeX XMLCite \textit{C. Rommel} et al., ESAIM, Probab. Stat. 25, 1--30 (2021; Zbl 1466.62288) Full Text: DOI HAL
Sasaki, Hiroaki; Kanamori, Takafumi; Hyvärinen, Aapo; Niu, Gang; Sugiyama, Masashi Mode-seeking clustering and density ridge estimation via direct estimation of density-derivative-ratios. (English) Zbl 1468.68168 J. Mach. Learn. Res. 18(2017-2018), Paper No. 180, 47 p. (2018). MSC: 68T05 62G07 62H30 62J07 PDFBibTeX XMLCite \textit{H. Sasaki} et al., J. Mach. Learn. Res. 18, Paper No. 180, 47 p. (2018; Zbl 1468.68168) Full Text: arXiv Link
Givchi, Arash; Palhang, Maziar Off-policy temporal difference learning with distribution adaptation in fast mixing chains. (English) Zbl 1398.68436 Soft Comput. 22, No. 3, 737-750 (2018). MSC: 68T05 PDFBibTeX XMLCite \textit{A. Givchi} and \textit{M. Palhang}, Soft Comput. 22, No. 3, 737--750 (2018; Zbl 1398.68436) Full Text: DOI
du Plessis, Marthinus C.; Niu, Gang; Sugiyama, Masashi Class-prior estimation for learning from positive and unlabeled data. (English) Zbl 1412.68181 Mach. Learn. 106, No. 4, 463-492 (2017). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{M. C. du Plessis} et al., Mach. Learn. 106, No. 4, 463--492 (2017; Zbl 1412.68181) Full Text: DOI arXiv
Amaral, Sergio; Allaire, Douglas; Willcox, Karen Optimal \(L_2\)-norm empirical importance weights for the change of probability measure. (English) Zbl 1505.62028 Stat. Comput. 27, No. 3, 625-643 (2017). MSC: 62-08 65C05 65D32 68T05 90C20 PDFBibTeX XMLCite \textit{S. Amaral} et al., Stat. Comput. 27, No. 3, 625--643 (2017; Zbl 1505.62028) Full Text: DOI
Dayaratna, Kevin D.; Kedem, Benjamin Bayesian semiparametric density ratio modelling with applications to medical malpractice reform. (English) Zbl 07289463 Stat. Model. 16, No. 4, 261-278 (2016). MSC: 62-XX PDFBibTeX XMLCite \textit{K. D. Dayaratna} and \textit{B. Kedem}, Stat. Model. 16, No. 4, 261--278 (2016; Zbl 07289463) Full Text: DOI
Sasaki, Hiroaki; Noh, Yung-Kyun; Niu, Gang; Sugiyama, Masashi Direct density derivative estimation. (English) Zbl 1418.62145 Neural Comput. 28, No. 6, 1101-1140 (2016). MSC: 62G07 62E15 PDFBibTeX XMLCite \textit{H. Sasaki} et al., Neural Comput. 28, No. 6, 1101--1140 (2016; Zbl 1418.62145) Full Text: DOI
Vapnik, Vladimir; Braga, Igor; Izmailov, Rauf Constructive setting for problems of density ratio estimation. (English) Zbl 07260430 Stat. Anal. Data Min. 8, No. 3, 137-146 (2015). MSC: 62-XX 68-XX PDFBibTeX XMLCite \textit{V. Vapnik} et al., Stat. Anal. Data Min. 8, No. 3, 137--146 (2015; Zbl 07260430) Full Text: DOI
Da Veiga, Sebastien Global sensitivity analysis with dependence measures. (English) Zbl 1457.62188 J. Stat. Comput. Simulation 85, No. 7, 1283-1305 (2015). MSC: 62H20 62G05 68T05 PDFBibTeX XMLCite \textit{S. Da Veiga}, J. Stat. Comput. Simulation 85, No. 7, 1283--1305 (2015; Zbl 1457.62188) Full Text: DOI arXiv
du Plessis, Marthinus Christoffel; Shiino, Hiroaki; Sugiyama, Masashi Online direct density-ratio estimation applied to inlier-based outlier detection. (English) Zbl 1472.68134 Neural Comput. 27, No. 9, 1899-1914 (2015). MSC: 68T05 62G07 PDFBibTeX XMLCite \textit{M. C. du Plessis} et al., Neural Comput. 27, No. 9, 1899--1914 (2015; Zbl 1472.68134) Full Text: DOI
González, Carlos R.; Abu-Mostafa, Yaser S. Mismatched training and test distributions can outperform matched ones. (English) Zbl 1414.91321 Neural Comput. 27, No. 2, 365-387 (2015). MSC: 91E40 PDFBibTeX XMLCite \textit{C. R. González} and \textit{Y. S. Abu-Mostafa}, Neural Comput. 27, No. 2, 365--387 (2015; Zbl 1414.91321) Full Text: DOI
Gao, Jun; Huang, Rong; Li, Hanxiong Sub-domain adaptation learning methodology. (English) Zbl 1360.68673 Inf. Sci. 298, 237-256 (2015). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{J. Gao} et al., Inf. Sci. 298, 237--256 (2015; Zbl 1360.68673) Full Text: DOI
Liu, Song; Quinn, John A.; Gutmann, Michael U.; Suzuki, Taiji; Sugiyama, Masashi Direct learning of sparse changes in Markov networks by density ratio estimation. (English) Zbl 1419.62140 Neural Comput. 26, No. 6, 1169-1197 (2014). MSC: 62H12 62G07 05C90 PDFBibTeX XMLCite \textit{S. Liu} et al., Neural Comput. 26, No. 6, 1169--1197 (2014; Zbl 1419.62140) Full Text: DOI
Tangkaratt, Voot; Mori, Syogo; Zhao, Tingting; Morimoto, Jun; Sugiyama, Masashi Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation. (English) Zbl 1325.68200 Neural Netw. 57, 128-140 (2014). MSC: 68T05 62G07 PDFBibTeX XMLCite \textit{V. Tangkaratt} et al., Neural Netw. 57, 128--140 (2014; Zbl 1325.68200) Full Text: DOI arXiv
Kawakita, Masanori; Takeuchi, Jun’ichi Safe semi-supervised learning based on weighted likelihood. (English) Zbl 1314.68260 Neural Netw. 53, 146-164 (2014). MSC: 68T05 PDFBibTeX XMLCite \textit{M. Kawakita} and \textit{J. Takeuchi}, Neural Netw. 53, 146--164 (2014; Zbl 1314.68260) Full Text: DOI
Zeng, Jiusun; Kruger, Uwe; Geluk, Jaap; Wang, Xun; Xie, Lei Detecting abnormal situations using the Kullback-Leibler divergence. (English) Zbl 1300.93029 Automatica 50, No. 11, 2777-2786 (2014). MSC: 93A15 93E03 PDFBibTeX XMLCite \textit{J. Zeng} et al., Automatica 50, No. 11, 2777--2786 (2014; Zbl 1300.93029) Full Text: DOI
du Plessis, Marthinus Christoffel; Sugiyama, Masashi Semi-supervised learning of class balance under class-prior change by distribution matching. (English) Zbl 1298.68268 Neural Netw. 50, 110-119 (2014). MSC: 68T37 68T05 PDFBibTeX XMLCite \textit{M. C. du Plessis} and \textit{M. Sugiyama}, Neural Netw. 50, 110--119 (2014; Zbl 1298.68268) Full Text: DOI arXiv
Sugiyama, Masashi; Kanamori, Takafumi; Suzuki, Taiji; Du Plessis, Marthinus Christoffel; Liu, Song; Takeuchi, Ichiro Density-difference estimation. (English) Zbl 1418.62147 Neural Comput. 25, No. 10, 2734-2775 (2013). MSC: 62G07 62G35 PDFBibTeX XMLCite \textit{M. Sugiyama} et al., Neural Comput. 25, No. 10, 2734--2775 (2013; Zbl 1418.62147) Full Text: DOI arXiv
Yamada, Makoto; Suzuki, Taiji; Kanamori, Takafumi; Hachiya, Hirotaka; Sugiyama, Masashi Relative density-ratio estimation for robust distribution comparison. (English) Zbl 1414.62115 Neural Comput. 25, No. 5, 1324-1370 (2013). MSC: 62G05 PDFBibTeX XMLCite \textit{M. Yamada} et al., Neural Comput. 25, No. 5, 1324--1370 (2013; Zbl 1414.62115) Full Text: DOI arXiv
Cheng, Dansong; Nguyen, Minh Nhut; Gao, Junbin; Shi, Daming On the construction of the relevance vector machine based on Bayesian Ying-Yang harmony learning. (English) Zbl 1297.68199 Neural Netw. 48, 173-179 (2013). MSC: 68T05 62F15 PDFBibTeX XMLCite \textit{D. Cheng} et al., Neural Netw. 48, 173--179 (2013; Zbl 1297.68199) Full Text: DOI
Sogawa, Yasuhiro; Ueno, Tsuyoshi; Kawahara, Yoshinobu; Washio, Takashi Active learning for noisy oracle via density power divergence. (English) Zbl 1296.68146 Neural Netw. 46, 133-143 (2013). MSC: 68T05 62F10 62F12 62F35 PDFBibTeX XMLCite \textit{Y. Sogawa} et al., Neural Netw. 46, 133--143 (2013; Zbl 1296.68146) Full Text: DOI
Sugiyama, Masashi Machine learning with squared-loss mutual information. (English) Zbl 1371.68241 Entropy 15, No. 1, 80-112 (2013). MSC: 68T05 62B10 62H25 62H30 PDFBibTeX XMLCite \textit{M. Sugiyama}, Entropy 15, No. 1, 80--112 (2013; Zbl 1371.68241) Full Text: DOI
Ji, Zhanglong; Elkan, Charles Differential privacy based on importance weighting. (English) Zbl 1293.68082 Mach. Learn. 93, No. 1, 163-183 (2013). MSC: 68P01 94A62 PDFBibTeX XMLCite \textit{Z. Ji} and \textit{C. Elkan}, Mach. Learn. 93, No. 1, 163--183 (2013; Zbl 1293.68082) Full Text: DOI
Liu, Song; Yamada, Makoto; Collier, Nigel; Sugiyama, Masashi Change-point detection in time-series data by relative density-ratio estimation. (English) Zbl 1367.62259 Neural Netw. 43, 72-83 (2013). MSC: 62M10 68T05 PDFBibTeX XMLCite \textit{S. Liu} et al., Neural Netw. 43, 72--83 (2013; Zbl 1367.62259) Full Text: DOI arXiv
Kawano, Shuichi Semi-supervised logistic discrimination via labeled data and unlabeled data from different sampling distributions. (English) Zbl 1281.62148 Stat. Anal. Data Min. 6, No. 6, 472-481 (2013). MSC: 62H30 62J12 62B10 68T05 65C60 PDFBibTeX XMLCite \textit{S. Kawano}, Stat. Anal. Data Min. 6, No. 6, 472--481 (2013; Zbl 1281.62148) Full Text: DOI arXiv
Kanamori, Takafumi; Suzuki, Taiji; Sugiyama, Masashi Computational complexity of kernel-based density-ratio estimation: a condition number analysis. (English) Zbl 1260.68334 Mach. Learn. 90, No. 3, 431-460 (2013). MSC: 68T05 62H12 68Q25 PDFBibTeX XMLCite \textit{T. Kanamori} et al., Mach. Learn. 90, No. 3, 431--460 (2013; Zbl 1260.68334) Full Text: DOI arXiv
Karasuyama, Masayuki; Harada, Naoyuki; Sugiyama, Masashi; Takeuchi, Ichiro Multi-parametric solution-path algorithm for instance-weighted support vector machines. (English) Zbl 1260.68335 Mach. Learn. 88, No. 3, 297-330 (2012). MSC: 68T05 PDFBibTeX XMLCite \textit{M. Karasuyama} et al., Mach. Learn. 88, No. 3, 297--330 (2012; Zbl 1260.68335) Full Text: DOI arXiv
Karasuyama, Masayuki; Sugiyama, Masashi Canonical dependency analysis based on squared-loss mutual information. (English) Zbl 1258.68115 Neural Netw. 34, 46-55 (2012). MSC: 68T05 62H25 PDFBibTeX XMLCite \textit{M. Karasuyama} and \textit{M. Sugiyama}, Neural Netw. 34, 46--55 (2012; Zbl 1258.68115) Full Text: DOI Link
Sugiyama, Masashi; Suzuki, Taiji; Kanamori, Takafumi Density-ratio matching under the Bregman divergence: a unified framework of density-ratio estimation. (English) Zbl 1440.62111 Ann. Inst. Stat. Math. 64, No. 5, 1009-1044 (2012). MSC: 62G05 62B10 62G07 62G20 62J12 68T05 PDFBibTeX XMLCite \textit{M. Sugiyama} et al., Ann. Inst. Stat. Math. 64, No. 5, 1009--1044 (2012; Zbl 1440.62111) Full Text: DOI
Tao, Jianwen; Chung, Fu-Lai; Wang, Shitong On minimum distribution discrepancy support vector machine for domain adaptation. (English) Zbl 1242.68252 Pattern Recognition 45, No. 11, 3962-3984 (2012). MSC: 68T05 68T10 62H30 PDFBibTeX XMLCite \textit{J. Tao} et al., Pattern Recognition 45, No. 11, 3962--3984 (2012; Zbl 1242.68252) Full Text: DOI
Kanamori, Takafumi; Suzuki, Taiji; Sugiyama, Masashi Statistical analysis of kernel-based least-squares density-ratio estimation. (English) Zbl 1246.68182 Mach. Learn. 86, No. 3, 335-367 (2012). Reviewer: Dongsheng Tu (Kingston) MSC: 68T05 62G05 62G07 62G20 62H30 PDFBibTeX XMLCite \textit{T. Kanamori} et al., Mach. Learn. 86, No. 3, 335--367 (2012; Zbl 1246.68182) Full Text: DOI
Sugiyama, Masashi; Suzuki, Taiji; Itoh, Yuta; Kanamori, Takafumi; Kimura, Manabu Least-squares two-sample test. (English) Zbl 1414.62311 Neural Netw. 24, No. 7, 735-751 (2011). MSC: 62J05 62D05 PDFBibTeX XMLCite \textit{M. Sugiyama} et al., Neural Netw. 24, No. 7, 735--751 (2011; Zbl 1414.62311) Full Text: DOI
Sugiyama, Masashi; Yamada, Makoto; von Bünau, Paul; Suzuki, Taiji; Kanamori, Takafumi; Kawanabe, Motoaki Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search. (English) Zbl 1217.68188 Neural Netw. 24, No. 2, 183-198 (2011). MSC: 68T05 PDFBibTeX XMLCite \textit{M. Sugiyama} et al., Neural Netw. 24, No. 2, 183--198 (2011; Zbl 1217.68188) Full Text: DOI
Sugiyama, Masashi; Kawanabe, Motoaki; Chui, Pui Ling Dimensionality reduction for density ratio estimation in high-dimensional spaces. (English) Zbl 1401.62097 Neural Netw. 23, No. 1, 44-59 (2010). MSC: 62H30 62G07 68T05 PDFBibTeX XMLCite \textit{M. Sugiyama} et al., Neural Netw. 23, No. 1, 44--59 (2010; Zbl 1401.62097) Full Text: DOI