@Article{Gretton99,
author = {A. Gretton},
title = {Design of Chimes to Produce Consonant, Non-Harmonic Scales},
journal = {Acoustics Australia},
year = {1999},
volume = {27},
number = {1},
pdf = {papers/Gretton99.pdf}
}
@InProceedings{GreDavDouRay01,
author = {A. Gretton and M. Davy and A. Doucet and P. Rayner},
title = {Nonstationary Signal Classification using Support Vector
Machines},
booktitle = {Proceedings of the 11th IEEE Workshop on Statistical
Signal Processing},
year = {2001},
pages = {305--308},
publisher = {IEEE Signal Processing Society},
pdf = {papers/GreDavDouRay01.pdf}
}
@InProceedings{GreDouHerRayetal01,
author = {A. Gretton and A. Doucet and R. Herbrich and P. Rayner and
B. Schoelkopf},
title = {Support Vector Regression for Black-Box System Identification},
booktitle = {Proceedings of the 11th IEEE Workshop on Statistical
Signal Processing},
pages = {341--344},
publisher = {IEEE Signal Processing Society},
year = {2001},
pdf = {papers/GreDouHerRayetal01.pdf}
}
@TechReport{GreHerChaSchetal01,
author = {A. Gretton and R. Herbrich and O. Chapelle and B.
Schoelkopf and P. Rayner},
title = {Estimating the Leave-One-Out Error for Classification
Learning with {SVMs}},
institution = {Cambridge University Engineering Department},
year = {2001},
number = {CUED/F-INFENG/TR.424},
note = {Updated May 2003 (literature review expanded)},
postscript = {papers/GreHerSchRay01.ps.gz}
}
@Article{DavGreDouRay02,
author = {M. Davy and A. Gretton and A. Doucet and P. Rayner},
title = {Optimized Support Vector Machines for Nonstationary Signal Classification},
journal = {IEEE Signal Processing Letters},
year = {2002},
volume = {9},
number = {12},
pages = { 442-445},
pdf = {papers/DavGreDouRay02.pdf}
}
@InProceedings{GreDes03,
author = {A. Gretton and F. Desobry},
title = {On-Line One-Class Support Vector Machines: An Application to Signal Segmentation.},
booktitle = {Proceedings of ICASSP},
year = {2003},
volume = {2},
pages = {709--712},
pdf = {papers/GreDes03.pdf}
}
@InProceedings{GreHerSmo03,
author = {A. Gretton and R. Herbrich and A. Smola},
title = {The Kernel Mutual Information},
booktitle = {Proceedings of ICASSP},
year = {2003},
volume = {4},
pages = {880--883},
pdf = {papers/GreHerSmo03.pdf}
}
@PhdThesis{Gretton03,
author = {A. Gretton},
title = {Kernel Methods for Classification and Signal Separation (PhD thesis)},
school = {University of Cambridge},
year = {2003},
postscript = {papers/Gretton03.ps.gz}
}
@TechReport{ZhoWesGreBouetal03,
author = {D. Zhou and J. Weston and A. Gretton and O. Bousquet and B. Schoelkopf},
title = {Ranking on Data Manifolds},
institution = {MPI for Biological Cybernetics},
year = {2003},
number = {113},
pdf = {papers/ZhoWesGreBouetal03.pdf}
}
@TechReport{GreHerSmo03a,
author = {A. Gretton and R. Herbrich and A. Smola},
title = {The Kernel Mutual Information},
institution = {University of Cambridge and MPI for Biological Cybernetics},
year = {2003},
postscript = {papers/GreHerSmo03.ps.gz}
}
@InProceedings{ZhoWesGreBouetal04,
author = {D. Zhou and J. Weston and A. Gretton and O. Bousquet and B. Schoelkopf},
title = {Ranking on Data Manifolds},
booktitle = {Advances in Neural Information Processing Systems 16},
pages = {169--176},
year = {2004},
editor = {S. Thrun and L. Saul and B. Schoelkopf},
publisher = {MIT Press},
address = {Cambridge, MA, USA},
pdf = {papers/ZhoWesGreBouetal04.pdf}
}
@TechReport{GreSmoBouetal04,
author = {A. Gretton and A. Smola and O. Bousquet and
R. Herbrich and and B. Schoelkopf and
N. Logothetis},
title = {Behaviour and Convergence of the Constrained Covariance},
institution = {MPI for Biological Cybernetics},
year = {2004},
number = {130},
pdf = {papers/GreSmoBouetal04.pdf}
}
@TechReport{BakGreFraSch04a,
author = {G. BakIr and A. Gretton and M Franz and B. Schoelkopf},
title = {Multivariate Regression with Stiefel Constraints},
institution = {MPI for Biological Cybernetics},
year = {2004},
number = {128},
pdf = {papers/BakGreFraSch04a.pdf}
}
@InProceedings{BakGreFraSch04,
author = {G. BakIr and A. Gretton and M. Franz and B. Schoelkopf},
title = {Multivariate Regression via Stiefel Manifold Constraints},
booktitle = {Pattern Recognition, Proceedings of the 26th DAGM Symposium},
pages = {262--269},
year = {2004},
editor = {C. Rasmussen and M. Buelthoff and M. Giese},
address = {Berlin, Germany},
publisher = {Springer},
pdf = {papers/BakGreFraSch04.pdf}
}
@InProceedings{GreSmoBouetal05,
author = {A. Gretton and A. Smola and O. Bousquet and
R. Herbrich and A. Belitski and M. Augath and
Y. Murayama and J. Pauls and B. Schoelkopf and
N. Logothetis},
booktitle = {Artificial Intelligence and Statistics AISTATS'05},
title = {Kernel Constrained Covariance for Dependence
Measurement},
year = {2005},
editor = {Z. Ghahramani and R. Cowell},
pdf = {papers/GreSmoBouetal05.pdf}
}
@article{GreHerSmoBouSch05,
author = {A. Gretton and R. Herbrich and A. Smola and
O. Bousquet and B. Schoelkopf},
title = {Kernel Methods for Measuring Independence},
volume = {6},
pages = {2075--2129},
year = {2005},
journal = {Journal of Machine Learning Research},
pdf = {papers/GreHerSmoBouSch05.pdf}
}
@TechReport{FukBacGre05,
author = {K. Fukumizu and F. Bach and A. Gretton},
title = {Consistency of Kernel Canonical Correlation Analysis},
institution = {Institute for Statistical Mathematics},
year = {2005},
number = {942},
pdf = {papers/FukBacGre05.pdf}
}
@TechReport{GreHerSmoBouSch05a,
author = {A. Gretton and O. Bousquet and A. Smola and
B. Schoelkopf},
title = {Measuring Statistical Dependence with
Hilbert-Schmidt Norms},
institution = {MPI for Biological Cybernetics},
year = {2005},
number = {140},
pdf = {papers/GreHerSmoBouSch05a.pdf},
}
@InProceedings{GreBouSmoSch05,
author = {A. Gretton and O. Bousquet and A. Smola and
B. Schoelkopf},
title = {Measuring Statistical Dependence with
Hilbert-Schmidt Norms},
booktitle = {Algorithmic Learning Theory: 16th International Conference},
year = 2005,
publisher = {Springer-Verlag},
address = {Berlin/Heidelberg},
volume = {LNAI3734},
pdf = {papers/GreBouSmoSch05.pdf}
}
@Article{BorGreRasKrietal06,
author = {K. Borgwardt and A. Gretton and M. Rasch and H.-P.
Kriegel and B. Schoelkopf and A. Smola},
title = {Integrating structured biological data by Kernel Maximum
Mean Discrepancy},
journal = {Bioinformatics (ISMB)},
year = {2006},
volume = {22},
number = {14},
pages = {e49--e57},
pdf = {papers/BorGreRasKriSchSmo06.pdf},
url = {http://dx.doi.org/doi:10.1093/bioinformatics/btl242}
}
@Article{DavDesGreDon06,
author = {M. Davy and F. Desobry and A. Gretton and C. Doncarli},
title = {An Online Support Vector Machine for Abnormal Events Detection},
journal = {Signal Processing },
year = {2006},
volume = {86},
number = {8},
pages = {2009--2025},
pdf = {papers/DavDesGreDon06.pdf}
}
@Article{GreBelMurSchetal06,
author = {A. Gretton and A. Belitski and Y. Murayama and B.
Schoelkopf and N. Logothetis},
title = {The effect of artifacts on dependence measurement in
fMRI},
journal = {Magnetic Resonance Imaging},
year = {2006},
volume = {24},
number = {4},
pages = {401--409},
pdf = {papers/GreBelMurSchetal06.pdf}
}
@InProceedings{FukBacGre06,
author = {K. Fukumizu and F. Bach and A. Gretton},
title = {Statistical Convergence of Kernel CCA},
booktitle = {Advances in Neural Information Processing Systems 18},
pages = {387--394},
year = {2006},
editor = {Y. Weiss and B. Schoelkopf and J. Platt},
publisher = {MIT Press},
address = {Cambridge, MA, USA},
pdf = {papers/FukBacGre06.pdf}
}
@TechReport{SheJegGre06,
author = {H. Shen and S. Jegelka and A. Gretton},
title = {Geometric Analysis of Hilbert Schmidt Independence criterion based ICA contrast function},
institution = {NICTA},
year = {2006},
number = {PA006080}
}
@Article{FukBacGre07,
author = {K. Fukumizu and F. Bach and A. Gretton},
title = {Statistical Consistency of Kernel Canonical Correlation
Analysis},
journal = {J. Mach. Learn. Res.},
year = {2007},
volume = {8},
pages = {361--383},
pdf = {papers/FukBacGre07.pdf}
}
@incollection{GreBorRasSchSmo07,
title = {A Kernel Method for the Two-Sample-Problem},
author = {A. Gretton and K. Borgwardt and M. Rasch and
B. Schoelkopf and A. Smola},
booktitle = {Advances in Neural Information Processing Systems 19},
editor = {B. Schoelkopf and J. Platt and T. Hoffman},
publisher = {MIT Press},
address = {Cambridge, MA},
pages = {513--520},
year = {2007},
pdf = {papers/GreBorRasSchSmo07.pdf}
}
@incollection{HuaSmoGreBorSch07,
title = {Correcting Sample Selection Bias by Unlabeled Data},
author = {J. Huang and A. Smola and A. Gretton and
K. Borgwardt and B. Schoelkopf},
booktitle = {Advances in Neural Information Processing Systems 19},
editor = {B. Schoelkopf and J. Platt and T. Hoffman},
publisher = {MIT Press},
address = {Cambridge, MA},
pages = {601--608},
year = {2007},
pdf = {papers/HuaSmoGreBorSch07.pdf}
}
@incollection{GreBorRasSchSmo07b,
title = {A Kernel Approach to Comparing Distributions},
author = {A. Gretton and K. Borgwardt and M. Rasch and
B. Schoelkopf and A. Smola},
booktitle = {Proceedings of the 22nd AAAI Conference on Artificial
Intelligence},
editor = {R. Holte and A. Howe},
note = {Nectar track},
publisher = {AAAI Press},
pages = {1637-1641},
year = {2007},
pdf = {papers/GreBorRasSchSmo07b.pdf}
}
@InProceedings{SonSmoGreetal07a,
author = {L. Song and A. Smola and A. Gretton and K. Borgwardt},
title = {A dependence maximization view of clustering},
booktitle = {International Conference on Machine Learning},
year = 2007,
editor = {C. Sammut and Z. Ghahramani},
pdf = {papers/SonSmoGreetal07a.pdf}
}
@InProceedings{SonSmoGreetal07,
author = {L. Song and A. Smola and A. Gretton and K. Borgwardt and J. Bedo},
title = {Supervised Feature Selection via Dependence Estimation},
booktitle = {International Conference on Machine Learning},
year = 2007,
editor = {C. Sammut and Z. Ghahramani},
pdf = {papers/SonSmoGreetal07.pdf}
}
@Article{SonBedBorGreetal07,
author = {L. Song and J. Bedo and K. Borgwardt and A. Gretton and
A. Smola},
title = {Gene Selection via the BAHSIC Family of Algorithms},
journal = {Bioinformatics (ISMB)},
year = {2007},
volume = {23},
number = {13},
pages = {i490--i498},
pdf = {papers/SonBedBorGreSmo07.pdf}
}
@InProceedings{SmoGreSonSch07,
author = {A. Smola and A. Gretton and L. Song and B. Schoelkopf},
title = {A Hilbert Space Embedding for Distributions},
booktitle = {Algorithmic Learning Theory: 18th International Conference},
year = 2007,
publisher = {Springer-Verlag},
address = {Berlin/Heidelberg},
pages = {13--31},
volume = {LNAI4754},
pdf = {papers/SmoGreSonSch07.pdf}
}
@InProceedings{SheJegGre07,
author = {H. Shen and S. Jegelka and A. Gretton},
title = {Fast Kernel ICA using an Approximate Newton Method},
booktitle = {AISTATS 11},
pages = {476--483},
year = {2007},
pdf = {papers/SheJegGre07.pdf}
}
@InProceedings{JegGre07,
author = {S. Jegelka and A. Gretton},
title = {Brisk Kernel ICA},
booktitle = {Large Scale Kernel Machines},
year = {2007},
editor = {L. Bottou and O. Chapelle and D. DeCoste and J. Weston},
publisher = {MIT Press},
pages = {225--250},
pdf = {papers/briskICA07.pdf}
}
@incollection{GreFukTeoSonSchSmo08,
title = {A Kernel Statistical Test of Independence},
author = {A. Gretton and K. Fukumizu and C.H. Teo and L. Song and
B. Schoelkopf and A. Smola},
booktitle = {Advances in Neural Information Processing Systems 20},
editor = {J.C. Platt and D. Koller and Y. Singer and S. Roweis},
publisher = {MIT Press},
address = {Cambridge, MA},
year = {2008},
pdf= {papers/GreFukTeoSonetal08.pdf}
}
@InProceedings{FukGreSunSch08,
author = {K. Fukumizu and A. Gretton and X. Sun and B. Schoelkopf},
title = {Kernel Measures of Conditional Dependence},
booktitle = {Advances in Neural Information Processing Systems 20},
year = {2008},
pages = {489--496},
publisher = {MIT Press},
address = {Cambridge, MA},
url ={http://books.nips.cc/papers/files/nips20/NIPS2007_0559.pdf}
}
@TechReport{GreBorRasSchetal08,
author = {A. Gretton and K. Borgwardt and M. Rasch and B.
Schoelkopf and A. Smola},
title = {A Kernel Method for the Two Sample Problem},
institution = {MPI for Biological Cybernetics},
year = {2008},
number = {157},
pdf = {papers/GreBorRasSchetal08.pdf}
}
@TechReport{BlaGre08,
author = { M. Blaschko and A. Gretton},
title = {Taxonomy Inference Using Kernel Dependence Measures},
institution = {MPI for Biological Cybernetics},
year = {2008},
number = {181},
pdf = {papers/BlaGre08.pdf}
}
@incollection{SonSmoBorGre08,
title = {Colored Maximum Variance Unfolding},
author = {L. Song and A. Smola and K. Borgwardt and A. Gretton},
booktitle = {Advances in Neural Information Processing Systems 20},
editor = {J.C. Platt and D. Koller and Y. Singer and S. Roweis},
publisher = {MIT Press},
address = {Cambridge, MA},
year = {2008},
url = {http://books.nips.cc/papers/files/nips20/NIPS2007_0492.pdf}
}
@INPROCEEDINGS{Songetal08,
author = {L. Song and X. Zhang and A. Smola and A. Gretton and B. Schoelkopf},
title = {Tailoring Density Estimation via Reproducing Kernel Moment Matching},
year = {2008},
booktitle = {International Conference on Machine Learning},
url = {http://icml2008.cs.helsinki.fi/papers/377.pdf}
}
@InProceedings{Borgwardtetal08,
author = {K. Borgwardt and X. Yan and M. Thoma and H. Cheng and A. Gretton and L. Song and A. Smola and J. Han and P. Yu and H.-P. Kriegel},
title = {Combining near-optimal feature selection with gSpan},
booktitle = {Workshop on Mining and Learning with Graphs},
year = 2008,
url = {http://www.cis.hut.fi/MLG08/papers/session1/paper9.pdf}
}
@InProceedings{GreGyo08,
author = {A. Gretton and L. Gyorfi},
title = {Nonparametric Independence Tests: Space Partitioning and Kernel Approaches},
booktitle = {Algorithmic Learning Theory: 19th International Conference},
pages = {183--198},
year = {2008},
publisher = {Springer-Verlag},
address = {Berlin/Heidelberg},
volume = {LNAI5254},
pdf = {papers/GreGyo08.pdf}
}
@InProceedings{SriGreFukLanetal08,
author="B. Sriperumbudur and A. Gretton and K. Fukumizu and G. Lanckriet and B. Schoelkopf",
title="Injective Hilbert Space Embeddings of Probability Measures",
booktitle = {Proceedings of the 21st Annual Conference on Learning Theory},
year = {2008},
pages = {111-122},
publisher = {Omnipress},
address = {Madison, WI},
pdf = {papers/SriGreFukLanetal08.pdf}
}
@InProceedings{GreSmoHuaSchetal08,
author = {A. Gretton and A. Smola and J. Huang and M. Schmittfull and K. Borgwardt and B. Schoelkopf},
title = {Dataset Shift in Machine Learning},
booktitle = {Covariate Shift and Local Learning by Distribution Matching},
publisher = {MIT Press},
year = {2008},
address = {Cambridge, MA},
editor = {J. Qui{\~n}onero-Candela and M. Sugiyama and A.
Schwaighofer and N. Lawrence},
pages = {131--160},
pdf = {papers/covariateShiftChapter.pdf}
}
@InProceedings{BlaGre09,
author = {M. Blaschko and A. Gretton},
title = {Learning Taxonomies by Dependence Maximization},
booktitle = {Advances in Neural Information Processing Systems 21},
pages = {153--160},
year = {2009},
publisher = {MIT Press},
pdf = {papers/BlaGre09.pdf}
}
@InProceedings{ZhaSonGreSmo09,
author = {X. Zhang and L. Song and A. Gretton and A. Smola},
title = {Kernel Measures of Independence for non-iid Data},
booktitle = {Advances in Neural Information Processing Systems 22},
year = 2009,
pages = {1937--1944},
publisher = {MIT Press},
pdf = {papers/ZhaSonGreSmo09.pdf}
}
@InProceedings{FukSriGreSch09,
author = {K. Fukumizu and B. Sriperumbudur and A. Gretton and B. Schoelkopf},
title = {Characteristic Kernels on Groups and Semigroups},
booktitle = {Advances in Neural Information Processing Systems 21},
pages = {473--480},
year = {2009},
publisher = {Curran Associates Inc.},
address = {Red Hook, NY},
pdf = {papers/FukSriGreSch09.pdf}
}
@InProceedings{PetJanGreSch09,
author = {J. Peters and D. Janzing and A. Gretton and B. Schoelkopf},
title = {Detecting the Direction of Causal Time Series},
booktitle = { Proceedings of the 26th International Conference on Machine Learning},
year = {2009},
publisher = {ACM Press},
pdf = {papers/PetJanGreSch09.pdf}
}
@InProceedings{ThoCheGreHanetal09,
author = {M. Thoma and H. Cheng and A. Gretton and J. Han and H.-P. Kriegel and A. Smola and L. Song and P. Yu and X. Yan and K. Borgwardt},
title = {Near-optimal supervised feature selection among frequent subgraphs},
booktitle = {Proccedings of the 2009 SIAM Conference on Data Mining},
year = {2009},
url = {http://www.siam.org/meetings/sdm09/}
}
@InProceedings{PetJanGreSch08,
author = {J. Peters and D. Janzing and A. Gretton and B. Schoelkopf},
title = { Kernel Methods for Detecting the Direction of Time Series},
booktitle = {Proccedings of the 32nd Annual Conference of the German Classification Society},
publisher = {Springer},
year = {2008},
pdf = {papers/PetJanGreSch08.pdf}
}
@Article{KuGreMacLog08,
author = { S.-P. Ku and A. Gretton and J. Macke and N. Logothetis},
title = {Comparison of Pattern Recognition Methods in Classifying High-resolution BOLD Signals Obtained at High Magnetic Field in Monkeys},
journal = {Magnetic Resonance Imaging },
year = {2008},
volume = {26},
number = {7},
pages = {1007--1014},
pdf = {papers/KuGreMacLog08.pdf}
}
@Article{BelGreMagMuretal08,
author = {A. Belitski and A. Gretton and C. Magri and Y. Murayama
and M. Montemurro and N. Logothetis and S. Panzeri},
title = {Low-Frequency Local Field Potentials and Spikes in Primary
Visual Cortex Convey Independent Visual Information},
journal = {Journal of Neuroscience},
volume = {28},
number = {22},
year = {2008},
pages = {5696--5709},
pdf = {papers/BelGreMagMuretal08.pdf},
url = {http://www.jneurosci.org/cgi/reprint/28/22/5696}
}
@Article{RasGreMurMaaetal08,
author = {M. Rasch and A. Gretton and Y. Murayama and W. Maass and
N. Logothetis},
title = {Inferring Spike Trains From Local Field Potentials},
journal = {Journal of Neurophysiology},
volume = {99},
year = {2008},
pages = {1461--1476},
url = {http://jn.physiology.org/cgi/reprint/99/3/1461},
pdf = {papers/RasGreMurMaaetal08.pdf}
}
@InProceedings{BlaLamGre08,
author = {M. Blaschko and C. Lampert and A. Gretton},
title = {Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis},
booktitle = {Machine Learning and Knowledge Discovery in Databases: European Conference},
pages = {133--145},
year = {2008},
volume = {LNCS5211},
address = {Berlin/Heidelberg},
publisher = {Springer-Verlag},
pdf = {papers/BlaLamGre08.pdf}
}
@InProceedings{JegGreSchSrietal09,
author = {S. Jegelka and A. Gretton and B. Schoelkopf and B. Sriperumbudur and U. von Luxburg},
title = {Generalized clustering via kernel embeddings},
booktitle = {KI: Advances in Artificial Intelligence},
pages = {144--152},
year = {2009},
address = {Berlin},
publisher = {Springer},
pdf = {papers/genClust.pdf}
}
@Article{SheJegGre09,
author = {H. Shen and S. Jegelka and A. Gretton},
title = {Fast Kernel-Based Independent Component Analysis},
journal = {IEEE Transactions on Signal Processing },
year = {2009},
volume = 57,
issue = 9,
pages = {3498 -- 3511},
pdf = {papers/SheJegGre09.pdf}
}
@TechReport{GreGyo09,
author = {A. Gretton and L. Gyorfi},
title = {Consistent Nonparametric Tests of Independence},
institution = {MPI for Biological Cybernetics},
number = {172},
year = {2009},
pdf = {papers/GreGyo09.pdf}
}
@Article{BieMeiGreRauetal09,
author = {F. Biessmann and F. Meinecke and A. Gretton and A. Rauch and G. Rainer and N. Logothetis and K.-R. Mueller},
title = {Temporal Kernel CCA and its Application in Multimodal Neuronal Data Analysis},
journal = {Machine Learning},
year = {2009},
volume = {79},
number = {1-2},
pages = {5-27},
pdf = {papers/tkCCA.pdf}
}
@InProceedings{SriFukGreLanetal09,
author = {B. Sriperumbudur and K. Fukumizu and A. Gretton and G. Lanckriet and B. Schoelkopf},
title = {Kernel choice and classifiability for RKHS embeddings of probability distributions},
booktitle = {Advances in Neural Information Processing Systems 22},
year = {2009},
publisher = {Curran Associates Inc.},
address = {Red Hook, NY},
pdf = {papers/nips09_mmd.pdf}
}
@InProceedings{GreFukHarSri09,
author = {A. Gretton and K. Fukumizu and Z. Harchaoui and B. Sriperumbudur},
title = {A Fast, Consistent Kernel Two-Sample Test},
year = {2009},
booktitle = {Advances in Neural Information Processing Systems 22},
publisher = {Curran Associates Inc.},
address = {Red Hook, NY},
pdf = {papers/1006_paperlong.pdf}
}
@InProceedings{TilGreSpi09,
author = {R. Tillman and A. Gretton and P. Spirtes},
title = {Nonlinear directed acyclic structure learning with weakly additive noise models},
year = {2009},
booktitle = {Advances in Neural Information Processing Systems 22},
publisher = {Curran Associates Inc.},
address = {Red Hook, NY},
pdf = {papers/kpc.pdf}
}
@Article{GreFukSri09,
author = {A. Gretton and K. Fukumizu and B. Sriperumbudur},
title = {Discussion of: Brownian Distance Covariance},
journal = {The Annals of Applied Statistics},
year = {2009},
volume = {3},
number = {4},
pages = {1285--1294},
pdf = {papers/GreFukSri09.pdf}
}
@TechReport{SriFukGreSchLan09,
author = {B. Sriperumbudur and K. Fukumizu and A. Gretton and B. Schoelkopf and G. Lanckriet},
title = {On integral probability metrics, \phi-divergences and binary classification},
institution = {arXiv},
year = {2009},
url = {http://arxiv.org/abs/0901.2698v4}
}
@Article{GreGyo10,
author = {A. Gretton and L. Gyorfi},
title = {Consistent Nonparametric Tests of Independence},
journal = {Journal of Machine Learning Research},
year = {2010},
volume = {11},
pages = {1391--1423},
pdf = {papers/GreGyo10.pdf}
}
@Article{SriGreFukSchetal10,
author = {B. Sriperumbudur and A. Gretton and K. Fukumizu and B. Schoelkopf and G. Lanckriet},
title = {Hilbert Space Embeddings and Metrics on Probability Measures},
journal = {Journal of Machine Learning Research},
year = {2010},
volume = {11},
pages = {1517--1561},
pdf = {papers/SriGreFukSchetal10.pdf}
}
@InProceedings{SonGreGue10,
author = {L. Song and A. Gretton and C. Guestrin},
title = {Nonparametric Tree Graphical Models},
booktitle = {AISTATS 13},
year = {2010},
pages = {765--772},
pdf = {papers/SonGreGue10.pdf}
}
@InProceedings{DanGreSch10,
author = {S. Danafar and A. Gretton and J. Schmidhuber},
title = {Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition },
booktitle = {Machine Learning and Knowledge Discovery in Databases},
pages = {264--279},
year = {2010},
volume = {6321},
series = {LNCS},
publisher = {Springer},
pdf = {papers/DanGreSch10.pdf}
}
@TechReport{FukSonGre10,
author = {K. Fukumizu and L. Song and A. Gretton},
title = {Kernel Bayes' Rule},
institution = {arXiv},
year = {2010},
url = {http://arxiv.org/abs/1009.5736},
}
@InProceedings{SriFukGreSchetal10,
author = {B. Sriperumbudur and K. Fukumizu and A. Gretton and B. Schoelkopf and G. Lanckriet},
title = {Non-parametric estimation of integral probability metrics},
booktitle = {International Symposium on Information Theory},
year = {2010},
pages = {1428-1432},
pdf = {papers/SriFukGreSchetal10.pdf}
}
@InProceedings{SonGreBicLowGue11,
author = {L. Song and A. Gretton and D. Bickson and Y. Low and C. Guestrin},
title = {Kernel Belief Propagation},
booktitle = {AISTATS 14},
year = {2011},
pages = {707-715},
pdf = {papers/SonGreBicLowGue11.pdf}
}
@InProceedings{GonLowGreGue11,
author = {J. Gonzalez and Y. Low and A. Gretton and C. Guestrin},
title = {Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees},
booktitle = {AISTATS 14},
year = {2011},
pages = {324-332},
pdf = {papers/GonLowGreGue11.pdf}
}
@Article{BlaSheBarLametal11,
author = {M. Blaschko and J. Shelton and A. Bartels and C. Lampert and A. Gretton },
title = {Semi-supervised Kernel Canonical Correlation Analysis with Application to Human fMRI},
journal = {Pattern Recognition Letters},
year = {2011},
volume = {32},
number = {11},
pages = {1572-1583},
pdf = {papers/BlaSheBarLametal11.pdf}
}
@Article{FukSonGre11,
author = {K. Fukumizu and L. Song and A. Gretton},
title = {Kernel {Bayes'} Rule},
booktitle = {Advances in Neural Information Processing Systems 24},
year = {2011},
pages = {1737-1745},
pdf = {papers/FukSonGre11.pdf}
}
@TechReport{GruLevBalPonetal11,
author = {S. Grunewalder and L. Baldassarre and M. Pontil and A. Gretton and G. Lever },
title = {Modeling transition dynamics in {MDP}s with {RKHS} embeddings of conditional distributions},
institution = {arXiv},
year = {2011},
url = {http://arxiv.org/abs/1112.4722v1}
}
@Article{GreBorRasSchetal12,
author = {A. Gretton and K. Borgwardt and M. Rasch and B.
Schoelkopf and A. Smola},
title = {A Kernel Two-Sample Test},
journal = {JMLR},
year = {2012},
volume = {13},
pages = {723-773},
pdf = {papers/GreBorRasSchetal12.pdf}
}
@InProceedings{GruLevBalPonetal12,
author = {S. Grunewalder and G. Lever and L. Baldassarre and M. Pontil and A. Gretton},
title = {Modeling transition dynamics in {MDP}s with {RKHS} embeddings},
booktitle = {ICML},
year = {2012},
pdf = {papers/GruLevBalPonetal12.pdf}
}
@InProceedings{GruLevBalPatetal12,
author = {S. Grunewalder and G. Lever and L. Baldassarre and S. Patterson and A. Gretton and M. Pontil },
title = {Conditional mean embeddings as regressors},
booktitle = {ICML},
year = {2012},
pdf = {papers/GruLevBalPatetal12.pdf}
}
@InProceedings{SejGreSriFuk12,
author = {D. Sejdinovic and A. Gretton and B. Sriperumbudur and K. Fukumizu },
title = { Hypothesis testing using pairwise distances and associated kernels },
booktitle = {ICML},
year = {2012},
pdf = {papers/SejGreSriFuk12.pdf}
}
@Article{SonSmoGreBedetal12,
author = {L. Song and A. Smola and A. Gretton and J. Bedo and K. Borgwardt},
title = {Feature Selection via Dependence Maximization},
journal = {JMLR},
year = {2012},
volume = {13},
pages = {1393--1434},
url = {http://jmlr.csail.mit.edu/papers/v13/song12a.html}
}
@InProceedings{NisBouGreFuk12,
author = {Y. Nishiyama and A. Boularias and A. Gretton and K. Fukumizu},
title = {Hilbert Space Embeddings of {POMDPs}},
booktitle = {UAI},
pdf = {papers/NisBouGreFuk12.pdf},
year = {2012}
}
@TechReport{SejSriGreFuk12,
author = {D. Sejdinovic and B. Sriperumbudur and A. Gretton and K. Fukumizu},
title = {Equivalence of distance-based and {RKHS}-based statistics in hypothesis testing},
institution = {arXiv},
year = {2012},
url = {http://arxiv.org/abs/1207.6076}
}
@Article{SriFukGreSchetal12,
author = {B. Sriperumbudur and K. Fukumizu and A. Gretton and B. Schoelkopf and G. Lanckriet},
title = {On the empirical estimation of integral probability metrics},
journal = {Electronic Journal of Statistics},
year = {2012},
volume = {6},
pages = {1550-1599},
pdf = {papers/SriFukGreSchetal12.pdf}
}
@InProceedings{GreBorRasSchetal12,
author = {A. Gretton and B. Sriperumbudur and D. Sejdinovic and H. Strathmann and S. Balakrishnan and M. Pontil and K. Fukumizu},
title = {Optimal kernel choice for large-scale two-sample tests},
booktitle = {NeurIPS},
year = {2012},
pdf = {papers/GreSriSejStrBalPonFuk12.pdf}
}
@InProceedings{GruGreSha13,
author = {S. Grunewalder and A. Gretton and J. Shawe-Taylor },
title = {Smooth Operators},
booktitle = {ICML},
year = {2013},
pdf = {papers/GruGreSha13.pdf}
}
@InProceedings{SejGreBer13,
author = {D. Sejdinovic and A. Gretton and W. Bergsma},
title = {A Kernel Test for Three-Variable Interactions},
year = {2013},
url = {http://papers.nips.cc/paper/4893-a-kernel-test-for-three-variable-interactions},
booktitle = {NeurIPS}
}
@InProceedings{BooGreGor13,
author = {B. Boots and A. Gretton and G. J. Gordon.},
title = {Hilbert Space Embeddings of Predictive State Representations},
booktitle = {UAI},
year = {2013},
pdf = {papers/BooGreGor13.pdf}
}
@InProceedings{ZarGreBla13,
author = {W. Zaremba and A. Gretton and M. Blaschko},
title = {B-test: A Non-parametric, Low Variance Kernel Two-sample Test},
year = {2013},
url = {http://papers.nips.cc/paper/5081-b-test-a-non-parametric-low-variance-kernel-two-sample-test},
booktitle = {NeurIPS}
}
@Article{SonFukGre13,
author = {L. Song and K. Fukumizu and A. Gretton},
title = {Kernel Embeddings of Conditional Distributions: A Unified Kernel Framework for Nonparametric Inference in Graphical Models},
journal = {IEEE Signal Processing Magazine},
year = {2013},
volume = {30},
number = {4},
pages = {98--111},
pdf = {papers/SonFukGre13.pdf}
}
@incollection{BlaZarGre13,
year={2013},
booktitle={Machine Learning and Knowledge Discovery in Databases},
volume={8189},
series={Lecture Notes in Computer Science},
title={Taxonomic Prediction with Tree-Structured Covariances},
url={http://dx.doi.org/10.1007/978-3-642-40991-2_20},
publisher={Springer Berlin Heidelberg},
author={M. Blaschko and W. Zaremba and A. Gretton},
pages={304--319},
pdf = {papers/BlaZarGre13.pdf}
}
@Article{SejSriGreFuk13,
author = {D. Sejdinovic and B. Sriperumbudur and A. Gretton and K. Fukumizu},
title = {Equivalence of distance-based and RKHS-based statistics in hypothesis testing},
journal = {Annals of Statistics},
year = {2013},
volume = {41},
number = {5},
pages = {2263-2702},
pdf = {papers/SejSriGreFuk13.pdf},
url={http://projecteuclid.org/euclid.aos/1383661264}
}
@article{FukSonGre13,
author = {K. Fukumizu and L. Song and A. Gretton},
title = {Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels},
journal = {Journal of Machine Learning Research},
year = {2013},
volume = {14},
pages = {3753-3783},
url = {http://jmlr.org/papers/v14/fukumizu13a.html}
}
@InProceedings{MuaFukSriGreSch14,
author = {K. Muandet and K. Fukumizu and B. Sriperumbudur and A. Gretton and B. Schoelkopf },
title = {Kernel Mean Estimation and Stein Effect},
booktitle = {ICML},
year = {2014},
pdf = {papers/MuaFukSriGreSch14.pdf}
}
@InProceedings{ChwGre14,
author = {K. Chwialkowski and A. Gretton},
title = {A Kernel Independence Test for Random Processes},
year = {2014},
url = {http://arxiv.org/abs/1402.4501},
booktitle = {ICML}
}
@InProceedings{SejStrGarAndGre14,
author = {D. Sejdinovic and H. Strathmann and M. {Lomeli Garcia} and C. Andrieu and A. Gretton},
title = {Kernel Adaptive Metropolis-Hastings},
year = {2014},
url = {http://arxiv.org/abs/1307.5302},
booktitle = {ICML}
}
@InProceedings{ChwSejGre14,
author = {K. Chwialkowski and D. Sejdinovic and A. Gretton},
title = {A Wild Bootstrap for Degenerate Kernel Tests},
booktitle = {NeurIPS},
year = {2014},
url = {http://arxiv.org/abs/1408.5404}
}
@TechReport{SzaGrePocSri14,
author = {Z. Szabo and A. Gretton and B. Poczos and B. Sriperumbudur},
title = {Consistent, Two-Stage Sampled Distribution Regression via Mean Embedding},
institution = {ArXiv e-prints},
url = {http://arxiv.org/abs/1402.1754},
year = 2014
}
@InProceedings{KanNisGreFuk14,
author = {M. Kanagawa and Y. Nishiyama and A. Gretton and K. Fukumizu},
title = {Monte Carlo Filtering Using Kernel Embedding of Distributions},
booktitle = {AAAI},
year = {2014},
pdf = {papers/KanNisGreFuk14.pdf}
}
@TechReport{SriFukGreHyv14,
author = {B. Sriperumbudur and K. Fukumizu and A. Gretton and A. Hyv{\"a}rinen },
title = {Density Estimation in Infinite Dimensional Exponential Families},
institution = {ArXiv e-prints},
url = {http://arxiv.org/abs/1312.3516},
year = 2014
}
@TechReport{SheGasZheLueGre14,
author = {J. Shelton and J. Gasthaus and Z, Dai and J. Luecke and A. Gretton},
title = {GP-select: Accelerating EM using adaptive subspace preselection},
institution = {ArXiv e-prints},
year = {2014},
URL = {http://arxiv.org/abs/1412.3411}
}
@TechReport{NisKanGreFuk14,
author = {Y. Nishiyama and M. Kanagawa and A. Gretton and K. Fukumizu},
title = {Model-based Kernel Sum Rule},
institution = {ArXiv e-prints},
year = {2014},
url = {http://arxiv.org/abs/1409.5178}
}
@InProceedings{JitGreHeeElsetal15,
author = {W. Jitkrittum and A. Gretton and N. Heess and S.M.A. Eslami and B. Lakshminarayanan and D. Sejdinovic and Z. Szabo},
title = {Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages},
booktitle = {UAI},
year = {2015},
url = {http://arxiv.org/abs/1503.02551}
}
@TechReport{Gretton15,
author = {A. Gretton},
title = {A simpler condition for consistency of a kernel independence test},
institution = {ArXiv e-prints},
year = {2015},
url = {http://arxiv.org/abs/1501.06103}
}
@InProceedings{BouGreBla15,
author = { W. Bounliphone and A. Gretton and M. Blaschko },
title = { A low variance consistent test of relative dependency },
booktitle = {ICML},
year = {2015},
url = {http://arxiv.org/abs/1406.3852}
}
@InProceedings{SzaGrePocSri15,
author = { Z. Szabo and A. Gretton and B. Poczos and B. Sriperumbudur},
title = { Two-stage Sampled Learning Theory on Distributions },
booktitle = {AISTATS},
year = {2015},
pages = {948--957},
url = {http://www.jmlr.org/proceedings/papers/v38/szabo15.html}
}
@InProceedings{ChwRamSejGre15,
author = {K. Chwialkowski and A. Ramdas and D. Sejdinovic and A. Gretton},
title = {Fast Two-Sample Testing with Analytic Representations of Probability Measures },
booktitle = {NeurIPS},
year = {2015},
url = {http://arxiv.org/abs/1506.04725}
}
@InProceedings{StrSejLivSzaGre15,
author = {H. Strathmann and D. Sejdinovic and S. Livingstone and Z. Szabo and A. Gretton},
title = {Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families },
booktitle = {NeurIPS},
year = {2015},
url = {http://arxiv.org/abs/1506.02564}
}
@InProceedings{RubKhwGre16,
author = {P. Rubenstein and K. Chwialkowski and A. Gretton},
title = {A Kernel Test for Three-Variable Interactions with Random Processes},
booktitle = {UAI},
year = {2016},
url = {http://arxiv.org/abs/1603.00929}
}
@InProceedings{ChwStrGre16,
author = {Chwialkowski and H. Strathmann and A. Gretton},
title = {A Kernel Test of Goodness of Fit},
booktitle = {ICML},
year = {2016},
url = {http://arxiv.org/abs/1602.02964}
}
@article{MuaSriFukGreSch16,
author = {K. Muandet and B. Sriperumbudur and K. Fukumizu and A. Gretton and B. Schoelkopf},
title = {Kernel Mean Shrinkage Estimators},
journal = {Journal of Machine Learning Research},
year = {2016},
volume = {17},
number = {48},
pages = {1-41},
url = {http://jmlr.org/papers/v17/14-195.html}
}
@Article{KanNisGreFuk16,
author = {M. Kanagawa and Y. Nishiyama and A. Gretton and K. Fukumizu},
title = {Filtering with State-Observation Examples via Kernel Monte Carlo Filter},
journal = {Neural Computation},
year = {2016},
volume = {28},
number = {2},
pages = {382--444},
pdf = {papers/KanNisGreFuk16.pdf}
}
@InProceedings{BouBelBlaAntGre16,
author = {W, Bounliphone and E. Belilovsky and M. Blaschko and I. Antonoglou and A. Gretton},
title = {A Test of Relative Similarity For Model Selection in Generative Models},
booktitle = {ICLR},
year = {2016},
url = {http://arxiv.org/abs/1511.04581}
}
@Article{ZhaFilGreSej17,
author = {Q. Zhang and S. Filippi and A. Gretton and D. Sejdinovic},
title = {Large-Scale Kernel Methods for Independence Testing},
journal="Statistics and Computing",
year = {2017},
pages = {1--18},
url = {http://arxiv.org/abs/1606.07892v1}
}
@InProceedings{JitSzaChwGre16,
author = {W. Jitkrittum and Z. Szabo and K. Chwialkowski and A. Gretton},
title = {Interpretable Distribution Features with Maximum Testing Power},
booktitle = {NeurIPS},
year = {2016},
url = {http://arxiv.org/abs/1605.06796}
}
@Article{WeiGroGre16,
author = {S. Weichwald and M. {Grosse-Wentrup} and A. Gretton},
title = {MERLiN: Mixture Effect Recovery in Linear Networks},
journal = {IEEE Journal of Selected Topics in Signal Processing},
year = {2016},
volume = {10},
number = {7},
pages = {1254--1266},
pdf = {papers/WeiGroGre16.pdf}
}
@article{SzaSriPocGre16,
author = {Z. Szabo and B. Sriperumbudur and B. Poczos and A. Gretton},
title = {Learning Theory for Distribution Regression},
journal = {Journal of Machine Learning Research},
year = {2016},
volume = {17},
number = {152},
pdf = {papers/SzaSriPocGre16.pdf}
}
@InProceedings{SutTunStretal17,
author = {D. Sutherland and {H-Y} Tung and H. Strathmann and S. De and A. Ramdas and A. Smola and A. Gretton},
title = {Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy},
booktitle = {ICLR},
year = {2017},
url = {https://arxiv.org/abs/1611.04488}
}
@Article{ZhaFilGreSej17,
author = {Q. Zhang and S. Filippi and A. Gretton and D. Sejdinovic},
title = {Large-Scale Kernel Methods for Independence Testing},
journal="Statistics and Computing",
year = {2017},
pages = {1--18},
url = {http://arxiv.org/abs/1606.07892v1}
}
@InProceedings{JitSzaGre16,
author = {W. Jitkrittum and Z. Szabo and A. Gretton},
title = {An Adaptive Test of Independence with Analytic Kernel Embeddings},
url = {https://arxiv.org/abs/1610.04782},
booktitle = {ICML},
year = {2017}
}
@InProceedings{JitXuSzaFuketal17,
author = {W. Jitkrittum and W. Xu and Z. Szabo and K. Fukumizu and A. Gretton},
title = {A Linear-Time Kernel Goodness-of-Fit Test},
booktitle = {NeurIPS},
year = {2017},
url = {https://arxiv.org/abs/1610.04782},
}
@Article{SriFukGreHyvKum17,
author = {B. Sriperumbudur and K. Fukumizu and A. Gretton and A Hyv\"arinen and R. Kumar},
title = {Density Estimation in Infinite Dimensional Exponential Families},
journal = {Journal of Machine Learning Research},
year = {2017},
volume = {18},
number = {57},
pages = {1-59},
url = {http://jmlr.org/papers/v18/16-011.html}
}
@article{SheGasDaiLucGre17,
author = {J. Shelton and J. Gasthaus and Z. Dai and J. L\"ucke and A. Gretton},
title = {GP-Select: Accelerating EM Using Adaptive Subspace Preselection},
journal = {Neural Computation},
volume = {29},
number = {8},
pages = {2177--2202},
year = {2017},
URL = {http://dx.doi.org/10.1162/neco_a_00982}
}
@InProceedings{ArbGre18,
author = {M. Arbel and A. Gretton},
title = {Kernel Conditional Exponential Family},
booktitle = {AISTATS},
year = {2018},
url = {https://arxiv.org/abs/1711.05363}
}
@InProceedings{SutStrArbGre18,
author = {D. Sutherland and H. Strathmann and M. Arbel and A. Gretton},
title = {Efficient and principled score estimation},
booktitle = {AISTATS},
year = {2018},
url = {https://arxiv.org/abs/1705.08360}
}
@InProceedings{BinSutArbGre18,
author = {M Binkowski and D. Sutherland and M. Arbel and A. Gretton},
title = {Demystifying MMD GANs},
booktitle = {ICLR},
year = {2018},
url = {https://arxiv.org/abs/1801.01401}
}
@InProceedings{ArbSutBinGre18,
author = {M. Arbel and D. Sutherland and M Binkowski and A. Gretton},
title = {On gradient regularizers for MMD GANs},
booktitle = {NeurIPS},
year = {2018},
url = {https://arxiv.org/abs/1805.11565}
}
@InProceedings{KirDegHusGaletal18,
author = {I. Korshunova and J. Degrave and F. Huszar and Y. Gal and A. Gretton and J. Dambre},
title = {BRUNO: A Deep Recurrent Model for Exchangeable Data},
booktitle = {NeurIPS},
year = {2018},
url = {https://arxiv.org/abs/1802.07535}
}
@InProceedings{JitKanSanHayetal18,
author = {W. Jitkrittum and H. Kanagawa and P. Sangkloy and J. Hays and B. Schoelkopf and A. Gretton},
title = {Informative Features for Model Comparison},
booktitle = {NeurIPS},
year = {2018},
url = {https://arxiv.org/abs/1810.11630}
}
@Article{LomRowGreGha19,
title = {Antithetic and Monte Carlo kernel estimators for partial rankings},
author = {M. Lomeli and M. Rowland and A. Gretton and Z. Ghahramani},
journal="Statistics and Computing",
year="2019",
month="Feb",
issn="1573-1375",
doi="10.1007/s11222-019-09859-z",
url="https://doi.org/10.1007/s11222-019-09859-z"
}
@InProceedings{FerGre19,
author = {T. Fernandez and A. Gretton},
title = {A maximum-mean-discrepancy goodness-of-fit test for censored data},
booktitle = {AISTATS},
year = {2019},
url="https://arxiv.org/abs/1810.04286"
}
@InProceedings{DaiDaiGreSonetal19,
author = {B. Dai and H. Dai and A. Gretton and L. Song and D. Schuurmans and N. He},
title = {Kernel Exponential Family Estimation via Doubly Dual Embedding},
booktitle = {AISTATS},
year = {2019},
url="https://arxiv.org/abs/1811.02228"
}
@InProceedings{WenSutStrGre19,
author = {L. Wenliang and D. Sutherland and H. Strathmann and A. Gretton},
title = {Learning deep kernels for exponential family densities},
booktitle = {ICML},
year = {2019},
url="https://arxiv.org/abs/1811.08357"
}
@InProceedings{SinSahGre19,
author = {R. Singh and M. Sahani and A. Gretton},
title = {Kernel Instrumental Variable Regression},
booktitle = {NeurIPS},
year = {2019},
url="https://arxiv.org/abs/1906.00232"
}
@InProceedings{DaiLiuDaiHeetal19,
author = {B. Dai and Z. Liu and H. Dai and N. He and A. Gretton and L. Song and D. Schuurmans},
title = {Exponential Family Estimation via Adversarial Dynamics Embedding},
booktitle = {NeurIPS},
year = {2019},
url="https://arxiv.org/abs/1904.12083"
}
@InProceedings{ArbKorSalGre19,
author = {M. Arbel and A. Korba and A. Salim and A. Gretton},
title = {Maximum Mean Discrepancy Gradient Flow},
booktitle = {NeurIPS},
year = {2019},
url="https://arxiv.org/abs/1906.04370"
}
@techreport{ColSilKanGre19,
author = {N. Colombo and R. Silva and S. M. Kang and A. Gretton},
title = {Counterfactual Distribution Regression for Structured Inference},
institute = {arXiv},
year = {2019},
url = {https://arxiv.org/abs/1908.07193}
}
@techreport{KanJitMacFuketal19,
author = {H. Kanagawa and W. Jitkrittum and L. Mackey and K. Fukumizu and A. Gretton},
title = {A Kernel Stein Test for Comparing Latent Variable Models},
institute = {arXiv},
year = {2019},
url = {https://arxiv.org/abs/1907.00586}
}
@Article{NisKanGreFuk20,
author="Y. Nishiyama
and M. Kanagawa
and A. Gretton
and K. Fukumizu",
title="Model-based kernel sum rule: kernel Bayesian inference with probabilistic models",
journal="Machine Learning",
year="2020",
month="Jan",
day="02",
issn="1573-0565",
url="https://doi.org/10.1007/s10994-019-05852-9"
}
@InProceedings{ArbGreLiMon20,
author = {M. Arbel and A. Gretton and W. Li and G. Montufar},
title = {Kernelized Wasserstein Natural Gradient},
booktitle = {ICLR},
year = {2020},
url="https://arxiv.org/abs/1910.09652"
}