Bibtex for papers

@article{IEICE:Kawakubo+etal:2016,
    author = {Kawakubo, H. and du Plessis, M. C .and Sugiyama, M.},
    title = {Computationally Efficient Class-Prior Estimation under Class Balance Change Using Energy Distance},
    volume = {E99-D},
    year = {2016},
    journal = {{IEICE} Transactions on Information and Systems},
    number = {1},
    pages = {176--186},
}

@article{NC:duPlessis+etal:2015,
    author = {du Plessis, M. C. and Shiino, H. and Sugiyama, M.},
    title = {Online Direct Density-Ratio Estimation Applied to Inlier-based Outlier Detection},
    journal = {Neural Computation},
    volume = {27},
    number = {9},
    pages = {1899--1914},
    year = {2015},
}

@article{JJSS:Sugiyama+etal:2014,
    author = {Sugiyama, M. and Yamada, M. and du Plessis, M. C. and Liu, S.},
    title = {Learning under Non-Stationarity:{C}ovariate Shift Adaptation, Class-Balance Change Adaptation, and Change Detection},
    journal = {Journal of the Japan Statistical Society},
    volume = {44},
    number = {1},
    pages = {113--136},
    year = {2014},
    note = {In Japanese},
}


@article{IEICE:Nguyen+etal:2014,
    author = {Nguyen, T. D. and du Plessis, M. C. and Kanamori, T. and Sugiyama, M.},
    title = {Constrained Least-Squares Density-Difference Estimation},
    year = {2014},
    journal = {{IEICE} Transactions on Information and Systems},
    volume = {E97-D},
    number = {7},
    pages = {1822--1829},
}


@article{IEICE:duPlessis+Sugiyama:2014,
    author = {du Plessis, M. C. and Sugiyama, M.},
    title = {Class Prior Estimation from Positive and Unlabeled Data},
    year = {2014},
    journal = {{IEICE} Transactions on Information and Systems},
    volume = {E97-D},
    number = {5},
    pages = {1358--1362},
}

@article{NN:duPlessis+Sugiyama:2014,
    author = {du Plessis, M. C. and Sugiyama, M.},
    title = {Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching},
    journal = {Neural Networks},
    volume = {50},
    pages = {110--119},
    year = {2014},
}

@article{WIREs:Sugiyama+etal:2013,
    author = {Sugiyama, M. and Yamada, M. and du Plessis, M. C.},
    title = {Learning under Non-Stationarity:{C}ovariate Shift and Class-Balance Change},
    journal = {{WIREs} Computational Statistics},
    year = {2013},
    volume = {5},
    number = {6},
    pages = {465--477},
}


@article{NC:Sugiyama+etal:2013,
    author = {Sugiyama, M. and Suzuki, T. and Kanamori, T. and du Plessis, M. C. and Liu, S. and Takeuchi, I.},
    title = {Density-Difference Estimation},
    journal = {Neural Computation},
    volume = {25},
    number = {10},
    pages = {2734--2775},
    year = {2013},
}


@article{JCSE:Sugiyama+etal:2013,
    author = {Sugiyama, M. and Liu, S. and du Plessis, M. C. and Yamanaka, M. and Yamada, M. and Suzuki, T. and Kanamori, T. },
    title = {Direct Divergence Approximation between Probability Distributions and Its Applications in Machine Learning},
    journal = {Journal of Computing Science and Engineering},
    volume = {7},
    number = {2},
    pages = {99--111},
    year = {2013},
}


@CONFERENCE{ACML:duPlessis+etal:2015,
    author = {du Plessis, M. C. and Niu, G. and Sugiyama, M.},
    title = {Class-Prior Estimation for Learning from Positive and Unlabeled Data},
    booktitle = {Proceedings of the Fourth Asian Conference on Machine Learning (ACML2015)},
    year = {2015},
    editor = {},
    SERIES = {JMLR Workshop and Conference Proceedings},
    month = {Nov.~20-22},
    address = {Hong Kong, China},
    volume = {45},
    pages = {221--236},
    acceptancerate = {28/96=29.2\%},
}

@CONFERENCE{ACML:Nguyen+etal:2015,
    author = {Nguyen, T. D. and du Plessis, M. C. and Sugiyama, M.},
    title = {Target Shift Adaptation in Supervised Learning},
    booktitle = {Proceedings of the Fourth Asian Conference on Machine Learning (ACML2015)},
    year = {2015},
    editor = {},
    SERIES = {JMLR Workshop and Conference Proceedings},
    month = {Nov.~20-22},
    address = {Hong Kong, China},
    volume = {45},
    pages = {285--300},
    acceptancerate = {28/96=29.2\%},
}



@CONFERENCE{ICML:duPlessis+etal:2015,
    author = {du Plessis, M. C. and Niu, G. and Sugiyama, M.},
    title = {Convex Formulation for Learning from Positive and Unlabeled Data},
    booktitle = {Proceedings of 32nd International Conference on Machine Learning (ICML2015)},
    month = {Jul.~6--11},
    year = {2015},
    address = {Lille, France},
    acceptancerate = {270/1037=26.0\%},
    editor = {F. Bach and D. Blei},
    SERIES = {JMLR Workshop and Conference Proceedings},
    volume = {37},
    pages = {1386--1394},
}

@CONFERENCE{NIPS:duPlessis+etal:2014,
    author = {du Plessis, M. C. and Niu, G. and Sugiyama, M.},
    title = {Analysis of Learning from Positive and Unlabeled Data},
    booktitle = {Advances in Neural Information Processing Systems 27},
    year = {2014},
    editor = {Z. Ghahramani and M. Welling and C. Cortes and N. D. Lawrence and K. Q. Weinberger},
    pages = {703--711},
    MEMO = {Presented at Neural Information Processing Systems (NIPS2014),
                 Montreal, Quebec, Canada, Dec.~8--11, 2014},
    acceptancerate = {414/1678=24.7\%},
}

@CONFERENCE{ICML:Niu+etal:2014,
    author = {Niu, G. and Dai, B. and du Plessis, M. C. and Sugiyama, M.},
    title = {Transductive Learning with Multi-Class Volume Approximation},
    booktitle = {Proceedings of 31st International Conference on Machine Learning (ICML2014)},
    month = {Jun.~21--26},
    year = {2014},
    address = {Beijing, China},
    acceptancerate = {310/1238=25.0\%},
    editor = {E. Xing and T. Jebara},
    SERIES = {JMLR Workshop and Conference Proceedings},
    volume = {32},
    number = {2},
    pages = {1377--1385},
}


@CONFERENCE{AISTATS:Noh+etal:2014,
    author = {Noh, Y.-K. and Sugiyama, M. and Liu, S. and du Plessis, M. C. and Park, F. C. and Lee, D. D.},
    title = {Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of{K}ullback-{L}eibler Divergence},
    booktitle = {Proceedings of the Seventeenth International Conference
                 on Artificial Intelligence and Statistics (AISTATS2014)},
    year = {2014},
    month = {Apr. 22-24},
    volume = {33},
    editor = {S. Kaski and J. Corander},
    pages = {669-677},
    address = {Reykjavik, Iceland},
    SERIES = {JMLR Workshop and Conference Proceedings},
    acceptancerate = {120/335=35.8\%},
}

@CONFERENCE{TAAI:duPlessis+etal:2013,
    author = {du Plessis, M. C. and Niu, G. and Sugiyama, M.},
    title = {Clustering Unclustered Data:{U}nsupervised Binary Labeling of Two Datasets Having Different Class Balances},
    booktitle = {Proceedings of Conference on Technologies and Applications of Artificial Intelligence (TAAI2013)},
    month = {Dec.~6--8},
    year = {2013},
    address = {Taipei, Taiwan},
    pages = {1--6},
}



@CONFERENCE{NIPS:Sugiyama+etal:2012,
    author = {Sugiyama, M. and Suzuki, T. and Kanamori, T. and du Plessis, M. C. and Liu, S. and Takeuchi, I.},
    title = {Density-Difference Estimation},
    booktitle = {Advances in Neural Information Processing Systems 25},
    year = {2012},
    pages = {692--700},
    editor = {P. Bartlett and F. C. N. Pereira and C. J. C. Burges and L. Bottou and K. Q. Weinberger},
    memo = {Presented at Neural Information Processing Systems (NIPS2012),
                 Lake Tahoe, Nevada, USA, Dec.~3--6, 2012},
    acceptancerate = {370/1467=25.2\%},
}



@CONFERENCE{ICML:DuPlessis+Sugiyama:2012,
    author = {du Plessis, M. C. and Sugiyama, M.},
    title = {Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching},
    booktitle = {Proceedings of 29th International Conference on Machine Learning (ICML2012)},
    month = {Jun.~26--Jul.~1},
    year = {2012},
    address = {Edinburgh, Scotland},
    pages = {823--830},
    editor = {J. Langford and J. Pineau},
    acceptancerate = {243/890=27.3\%},
}