@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" }