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ORCIDBibTeX records: Motonobu Kanagawa
@article{DBLP:journals/corr/abs-2303-04020,
author = {Davit Gogolashvili and
Matteo Zecchin and
Motonobu Kanagawa and
Marios Kountouris and
Maurizio Filippone},
title = {When is Importance Weighting Correction Needed for Covariate Shift
Adaptation?},
journal = {CoRR},
volume = {abs/2303.04020},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2303.04020},
doi = {10.48550/ARXIV.2303.04020},
eprinttype = {arXiv},
eprint = {2303.04020},
timestamp = {Thu, 16 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2303-04020.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2311-01537,
author = {Kensuke Mitsuzawa and
Motonobu Kanagawa and
Stefano Bortoli and
Margherita Grossi and
Paolo Papotti},
title = {Variable Selection in Maximum Mean Discrepancy for Interpretable Distribution
Comparison},
journal = {CoRR},
volume = {abs/2311.01537},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2311.01537},
doi = {10.48550/ARXIV.2311.01537},
eprinttype = {arXiv},
eprint = {2311.01537},
timestamp = {Wed, 08 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2311-01537.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2201-08712,
author = {Jonas Wacker and
Motonobu Kanagawa and
Maurizio Filippone},
title = {Improved Random Features for Dot Product Kernels},
journal = {CoRR},
volume = {abs/2201.08712},
year = {2022},
url = {https://arxiv.org/abs/2201.08712},
eprinttype = {arXiv},
eprint = {2201.08712},
timestamp = {Wed, 02 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2201-08712.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/jmlr/MuandetKSM21,
author = {Krikamol Muandet and
Motonobu Kanagawa and
Sorawit Saengkyongam and
Sanparith Marukatat},
title = {Counterfactual Mean Embeddings},
journal = {J. Mach. Learn. Res.},
volume = {22},
pages = {162:1--162:71},
year = {2021},
url = {http://jmlr.org/papers/v22/20-185.html},
timestamp = {Mon, 31 Jan 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/jmlr/MuandetKSM21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2106-01121,
author = {Veit Wild and
Motonobu Kanagawa and
Dino Sejdinovic},
title = {Connections and Equivalences between the Nystr{\"{o}}m Method
and Sparse Variational Gaussian Processes},
journal = {CoRR},
volume = {abs/2106.01121},
year = {2021},
url = {https://arxiv.org/abs/2106.01121},
eprinttype = {arXiv},
eprint = {2106.01121},
timestamp = {Fri, 11 Jun 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2106-01121.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/focm/KanagawaSF20,
author = {Motonobu Kanagawa and
Bharath K. Sriperumbudur and
Kenji Fukumizu},
title = {Convergence Analysis of Deterministic Kernel-Based Quadrature Rules
in Misspecified Settings},
journal = {Found. Comput. Math.},
volume = {20},
number = {1},
pages = {155--194},
year = {2020},
url = {https://doi.org/10.1007/s10208-018-09407-7},
doi = {10.1007/S10208-018-09407-7},
timestamp = {Mon, 28 Aug 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/focm/KanagawaSF20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/ml/NishiyamaKGF20,
author = {Yu Nishiyama and
Motonobu Kanagawa and
Arthur Gretton and
Kenji Fukumizu},
title = {Model-based kernel sum rule: kernel Bayesian inference with probabilistic
models},
journal = {Mach. Learn.},
volume = {109},
number = {5},
pages = {939--972},
year = {2020},
url = {https://doi.org/10.1007/s10994-019-05852-9},
doi = {10.1007/S10994-019-05852-9},
timestamp = {Fri, 14 May 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/ml/NishiyamaKGF20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KisamoriKY20,
author = {Keiichi Kisamori and
Motonobu Kanagawa and
Keisuke Yamazaki},
editor = {Silvia Chiappa and
Roberto Calandra},
title = {Simulator Calibration under Covariate Shift with Kernels},
booktitle = {The 23rd International Conference on Artificial Intelligence and Statistics,
{AISTATS} 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]},
series = {Proceedings of Machine Learning Research},
volume = {108},
pages = {1244--1253},
publisher = {{PMLR}},
year = {2020},
url = {http://proceedings.mlr.press/v108/kisamori20a.html},
timestamp = {Mon, 29 Jun 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KisamoriKY20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/sac/KarvonenKS19,
author = {Toni Karvonen and
Motonobu Kanagawa and
Simo S{\"{a}}rkk{\"{a}}},
title = {On the positivity and magnitudes of Bayesian quadrature weights},
journal = {Stat. Comput.},
volume = {29},
number = {6},
pages = {1317--1333},
year = {2019},
url = {https://doi.org/10.1007/s11222-019-09901-0},
doi = {10.1007/S11222-019-09901-0},
timestamp = {Sat, 05 Sep 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/sac/KarvonenKS19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/KanagawaH19,
author = {Motonobu Kanagawa and
Philipp Hennig},
editor = {Hanna M. Wallach and
Hugo Larochelle and
Alina Beygelzimer and
Florence d'Alch{\'{e}}{-}Buc and
Emily B. Fox and
Roman Garnett},
title = {Convergence Guarantees for Adaptive Bayesian Quadrature Methods},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference
on Neural Information Processing Systems 2019, NeurIPS 2019, December
8-14, 2019, Vancouver, BC, Canada},
pages = {6234--6245},
year = {2019},
url = {https://proceedings.neurips.cc/paper/2019/hash/165a59f7cf3b5c4396ba65953d679f17-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/KanagawaH19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1902-02517,
author = {Takafumi Kajihara and
Motonobu Kanagawa and
Yuuki Nakaguchi and
Kanishka Khandelwal and
Kenji Fukumizu},
title = {Model Selection for Simulator-based Statistical Models: {A} Kernel
Approach},
journal = {CoRR},
volume = {abs/1902.02517},
year = {2019},
url = {http://arxiv.org/abs/1902.02517},
eprinttype = {arXiv},
eprint = {1902.02517},
timestamp = {Tue, 21 May 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1902-02517.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1905-10271,
author = {Motonobu Kanagawa and
Philipp Hennig},
title = {Convergence Guarantees for Adaptive Bayesian Quadrature Methods},
journal = {CoRR},
volume = {abs/1905.10271},
year = {2019},
url = {http://arxiv.org/abs/1905.10271},
eprinttype = {arXiv},
eprint = {1905.10271},
timestamp = {Wed, 29 May 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1905-10271.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/icml/KajiharaKYF18,
author = {Takafumi Kajihara and
Motonobu Kanagawa and
Keisuke Yamazaki and
Kenji Fukumizu},
editor = {Jennifer G. Dy and
Andreas Krause},
title = {Kernel Recursive {ABC:} Point Estimation with Intractable Likelihood},
booktitle = {Proceedings of the 35th International Conference on Machine Learning,
{ICML} 2018, Stockholmsm{\"{a}}ssan, Stockholm, Sweden, July
10-15, 2018},
series = {Proceedings of Machine Learning Research},
volume = {80},
pages = {2405--2414},
publisher = {{PMLR}},
year = {2018},
url = {http://proceedings.mlr.press/v80/kajihara18a.html},
timestamp = {Wed, 03 Apr 2019 18:17:30 +0200},
biburl = {https://dblp.org/rec/conf/icml/KajiharaKYF18.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1805-08845,
author = {Krikamol Muandet and
Motonobu Kanagawa and
Sorawit Saengkyongam and
Sanparith Marukatat},
title = {Counterfactual Mean Embedding: {A} Kernel Method for Nonparametric
Causal Inference},
journal = {CoRR},
volume = {abs/1805.08845},
year = {2018},
url = {http://arxiv.org/abs/1805.08845},
eprinttype = {arXiv},
eprint = {1805.08845},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1805-08845.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1807-02582,
author = {Motonobu Kanagawa and
Philipp Hennig and
Dino Sejdinovic and
Bharath K. Sriperumbudur},
title = {Gaussian Processes and Kernel Methods: {A} Review on Connections and
Equivalences},
journal = {CoRR},
volume = {abs/1807.02582},
year = {2018},
url = {http://arxiv.org/abs/1807.02582},
eprinttype = {arXiv},
eprint = {1807.02582},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1807-02582.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1812-08509,
author = {Toni Karvonen and
Motonobu Kanagawa and
Simo S{\"{a}}rkk{\"{a}}},
title = {On the positivity and magnitudes of Bayesian quadrature weights},
journal = {CoRR},
volume = {abs/1812.08509},
year = {2018},
url = {http://arxiv.org/abs/1812.08509},
eprinttype = {arXiv},
eprint = {1812.08509},
timestamp = {Thu, 03 Jan 2019 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-1812-08509.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/datamine/IwataKHF17,
author = {Tomoharu Iwata and
Motonobu Kanagawa and
Tsutomu Hirao and
Kenji Fukumizu},
title = {Unsupervised group matching with application to cross-lingual topic
matching without alignment information},
journal = {Data Min. Knowl. Discov.},
volume = {31},
number = {2},
pages = {350--370},
year = {2017},
url = {https://doi.org/10.1007/s10618-016-0470-1},
doi = {10.1007/S10618-016-0470-1},
timestamp = {Thu, 23 Jun 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/datamine/IwataKHF17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1709-00147,
author = {Motonobu Kanagawa and
Bharath K. Sriperumbudur and
Kenji Fukumizu},
title = {Convergence Analysis of Deterministic Kernel-Based Quadrature Rules
in Misspecified Settings},
journal = {CoRR},
volume = {abs/1709.00147},
year = {2017},
url = {http://arxiv.org/abs/1709.00147},
eprinttype = {arXiv},
eprint = {1709.00147},
timestamp = {Mon, 13 Aug 2018 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1709-00147.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/neco/KanagawaNGF16,
author = {Motonobu Kanagawa and
Yu Nishiyama and
Arthur Gretton and
Kenji Fukumizu},
title = {Filtering with State-Observation Examples via Kernel Monte Carlo Filter},
journal = {Neural Comput.},
volume = {28},
number = {2},
pages = {382--444},
year = {2016},
url = {https://doi.org/10.1162/NECO\_a\_00806},
doi = {10.1162/NECO\_A\_00806},
timestamp = {Thu, 23 Jun 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/neco/KanagawaNGF16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/nips/KanagawaSF16,
author = {Motonobu Kanagawa and
Bharath K. Sriperumbudur and
Kenji Fukumizu},
editor = {Daniel D. Lee and
Masashi Sugiyama and
Ulrike von Luxburg and
Isabelle Guyon and
Roman Garnett},
title = {Convergence guarantees for kernel-based quadrature rules in misspecified
settings},
booktitle = {Advances in Neural Information Processing Systems 29: Annual Conference
on Neural Information Processing Systems 2016, December 5-10, 2016,
Barcelona, Spain},
pages = {3288--3296},
year = {2016},
url = {https://proceedings.neurips.cc/paper/2016/hash/81c650caac28cdefce4de5ddc18befa0-Abstract.html},
timestamp = {Mon, 16 May 2022 15:41:51 +0200},
biburl = {https://dblp.org/rec/conf/nips/KanagawaSF16.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/KanagawaNGF14,
author = {Motonobu Kanagawa and
Yu Nishiyama and
Arthur Gretton and
Kenji Fukumizu},
editor = {Carla E. Brodley and
Peter Stone},
title = {Monte Carlo Filtering Using Kernel Embedding of Distributions},
booktitle = {Proceedings of the Twenty-Eighth {AAAI} Conference on Artificial Intelligence,
July 27 -31, 2014, Qu{\'{e}}bec City, Qu{\'{e}}bec, Canada},
pages = {1897--1903},
publisher = {{AAAI} Press},
year = {2014},
url = {https://doi.org/10.1609/aaai.v28i1.8984},
doi = {10.1609/AAAI.V28I1.8984},
timestamp = {Mon, 04 Sep 2023 15:06:24 +0200},
biburl = {https://dblp.org/rec/conf/aaai/KanagawaNGF14.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aistats/KanagawaF14,
author = {Motonobu Kanagawa and
Kenji Fukumizu},
title = {Recovering Distributions from Gaussian {RKHS} Embeddings},
booktitle = {Proceedings of the Seventeenth International Conference on Artificial
Intelligence and Statistics, {AISTATS} 2014, Reykjavik, Iceland, April
22-25, 2014},
series = {{JMLR} Workshop and Conference Proceedings},
volume = {33},
pages = {457--465},
publisher = {JMLR.org},
year = {2014},
url = {http://proceedings.mlr.press/v33/kanagawa14.html},
timestamp = {Wed, 29 May 2019 08:41:44 +0200},
biburl = {https://dblp.org/rec/conf/aistats/KanagawaF14.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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