Bibliography.bib.bak

% Encoding: UTF-8

@InProceedings{Aslan2014,
  author    = {\"Ozlem Aslan and Xinhua Zhang and Dale Schuurmans},
  title     = {{C}onvex {D}eep {L}earning via {N}ormalized {K}ernels},
  booktitle = {Advances in NIPS 27: Annual Conference on NIPS 2014, December 8-13 2014, Montreal, Quebec, Canada},
  year      = {2014},
  pages     = {3275--3283},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  biburl    = {http://dblp.uni-trier.de/rec/bib/conf/nips/AslanZS14},
  crossref  = {DBLP:conf/nips/2014},
  keywords  = {ovks},
  timestamp = {Wed, 10 Dec 2014 21:34:12 +0100},
  url       = {http://papers.nips.cc/paper/5496-convex-deep-learning-via-normalized-kernels},
}

@InProceedings{Bach2011,
  author    = {Francis R. Bach and Eric Moulines},
  title     = {{Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning}},
  booktitle = {Advances in NIPS 24: 25th Annual Conference on NIPS 2011.},
  year      = {2011},
  pages     = {451--459},
  crossref  = {DBLP:conf/nips/2011},
  keywords  = {ovks},
}

@InProceedings{Sindhwani2013,
  author    = {Sindhwani, V. and Minh, H. Q. and Lozano, A.C.},
  title     = {Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality},
  booktitle = {Proc. of UAI'13, Bellevue, WA, USA, August 11-15, 2013},
  year      = {2013},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  biburl    = {http://dblp.uni-trier.de/rec/bib/conf/uai/SindhwaniML13},
  crossref  = {UAI2013},
  keywords  = {ovks},
  timestamp = {Fri, 26 Sep 2014 15:12:28 +0200},
}

@InProceedings{DBLP:conf/icml/Kontorovich14,
  author    = {Aryeh Kontorovich},
  title     = {Concentration in unbounded metric spaces and algorithmic stability},
  booktitle = {Proc. of the 31th International Conference on Machine Learning, {ICML} 2014, Beijing, China, 21-26 June 2014},
  year      = {2014},
  pages     = {28--36},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  biburl    = {http://dblp.uni-trier.de/rec/bib/conf/icml/Kontorovich14},
  keywords  = {ovks},
  timestamp = {Fri, 07 Nov 2014 20:42:30 +0100},
}

@Article{tewari1learning,
  author   = {Tewari, Ambuj and Bartlett, Peter L},
  title    = {Learning theory},
  journal  = {Academic Press Library in Signal Processing},
  volume   = {1},
  pages    = {775--816},
  keywords = {ovks},
}
ci!TEX root = ../../ThesisRomainbrault.tex

%% This BibTeX bibliography file was created using BibDesk.
%% http://bibdesk.sourceforge.net/


%% Created for Florence d'Alche-Buc at 2011-01-22 11:04:21 +0100
%% Completed by Romain Brault at 2015-09-11

%% This BibTeX bibliography file was created using BibDesk.
%% http://bibdesk.sourceforge.net/


%% Created for Florence d'Alche-Buc at 2011-01-22 11:04:21 +0100
%% This BibTeX bibliography file was created using BibDesk.
%% http://bibdesk.sourceforge.net/


%% Created for Florence d'Alche-Buc at 2011-01-22 11:04:21 +0100
%% Completed by Romain Brault at 2015-09-11

%% This BibTeX bibliography file was created using BibDesk.
%% http://bibdesk.sourceforge.net/


%% Created for Florence d'Alche-Buc at 2011-01-22 11:04:21 +0100
%% Completed by Romain Brault at 2015-09-11

@InProceedings{mroueh2012multiclass,
  author    = {Mroueh, Youssef and Poggio, Tomaso and Rosasco, Lorenzo and Slotine, Jean-jeacques},
  title     = {Multiclass learning with simplex coding},
  booktitle = {Advances in NIPS},
  year      = {2012},
  pages     = {2789--2797},
  keywords  = {ovks},
}

@Article{petersen2008matrix,
  author   = {Petersen, Kaare Brandt and Pedersen, Michael Syskind and others},
  title    = {The matrix cookbook},
  journal  = {Technical University of Denmark},
  year     = {2008},
  volume   = {7},
  pages    = {15},
  keywords = {ovks},
}

@Article{alfsen1964simplified,
  author    = {Alfsen, Erik M},
  title     = {A simplified constructive proof of the existence and uniqueness of Haar measure},
  journal   = {Mathematica Scandinavica},
  year      = {1964},
  volume    = {12},
  number    = {1},
  pages     = {106--116},
  keywords  = {ovks},
  publisher = {JSTOR},
}

@Article{Allen1974,
  author   = {Allen, D. M.},
  title    = {The relationship between variable selection and data augmentation and a method for prediction},
  journal  = {Technometrics},
  year     = {1974},
  volume   = {16},
  number   = {1},
  pages    = {125-127},
  keywords = {ovks},
}

@Article{Alvarez2012,
  author   = {{\'A}lvarez, M. A. and Rosasco, L. and Lawrence, N. D.},
  title    = {Kernels for vector-valued functions: a review},
  journal  = {Foundations and Trends in Machine Learning},
  year     = {2012},
  volume   = {4},
  number   = {3},
  pages    = {195-266},
  keywords = {ovks},
}

@Article{Ahls2002,
  author   = {Ahlswede, R. and Winter, A.},
  title    = {Strong converse for identification via quantum channels},
  journal  = {IEEE Trans. Inform. Theory 48(3)},
  year     = {2002},
  pages    = {569--679},
  keywords = {ovks},
}

@Article{Argyriou_jmlr09,
  author   = {Argyriou, A. and Micchelli, C. A. and Pontil, M.},
  title    = {When Is There a Representer Theorem? {V}ector vs Matrix Regularizers},
  journal  = {Journal of Machine Learning Research},
  year     = {2009},
  volume   = {10},
  pages    = {2507--2529},
  keywords = {ovks},
}

@Article{Aronszajn1950,
  author    = {Aronszajn, Nachman},
  title     = {Theory of reproducing kernels},
  journal   = {Transactions of the American mathematical society},
  year      = {1950},
  pages     = {337--404},
  keywords  = {ovks},
  publisher = {JSTOR},
}

@Proc.{DBLP:conf/nips/2014,
  title     = {Advances in NIPS 27: Annual Conference on NIPS 2014, December 8-13 2014, Montreal, Quebec, Canada},
  year      = {2014},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  biburl    = {http://dblp.uni-trier.de/rec/bib/conf/nips/2014},
  editor    = {Zoubin Ghahramani and Max Welling and Corinna Cortes and Neil D. Lawrence and Kilian Q. Weinberger},
  keywords  = {ovks},
  timestamp = {Wed, 10 Dec 2014 21:34:12 +0100},
  url       = {http://papers.nips.cc/book/advances-in-neural-information-processing-systems-27-2014},
}

@Article{Astikainen2008,
  author   = {Astikainen, K. and Holm, L. and Pitkanen, E. and Szedmak, S. and Rousu, J.},
  title    = {Towards structured output prediction of enzyme function},
  journal  = {BMC Proc.},
  year     = {2008},
  volume   = {2},
  number   = {Suppl 4},
  pages    = {S2},
  keywords = {ovks},
}

@InProceedings{audiffren2013online,
  author    = {Audiffren, Julien and Kadri, Hachem},
  title     = {Online learning with operator-valued kernels},
  booktitle = {European symposium on artificial neural networks (ESANN)},
  year      = {2015},
  keywords  = {ovks},
}



%%% B

@Article{bartlett2002rademacher,
  author   = {Bartlett, Peter L and Mendelson, Shahar},
  title    = {Rademacher and Gaussian complexities: Risk bounds and structural results},
  journal  = {Journal of Machine Learning Research},
  year     = {2002},
  volume   = {3},
  number   = {Nov},
  pages    = {463--482},
  keywords = {ovks},
}

@Book{book:321071,
  title     = {Harmonic analysis of operators on Hilbert space},
  publisher = {Springer-Verlag New York},
  year      = {2010},
  author    = {B\'ela Sz.-Nagy and Ciprian Foias and Hari Bercovici and L\'aszl\'o K\'erchy},
  series    = {Universitext},
  keywords  = {ovks},
  url       = {http://gen.lib.rus.ec/book/index.php?md5=E43C938E5EB4809F231DBF9CCFFA0932},
}

@Article{belkin2006manifold,
  author   = {Belkin, Mikhail and Niyogi, Partha and Sindhwani, Vikas},
  title    = {Manifold regularization: A geometric framework for learning from labeled and unlabeled examples},
  journal  = {Journal of machine learning research},
  year     = {2006},
  volume   = {7},
  number   = {Nov},
  pages    = {2399--2434},
  keywords = {ovks},
}

@Proc.{DBLP:conf/nips/2011,
  title     = {Advances in NIPS 24: 25th Annual Conference on NIPS 2011. Proc. of a meeting held 12-14 December 2011, Granada, Spain},
  year      = {2011},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  biburl    = {http://dblp.uni-trier.de/rec/bib/conf/nips/2011},
  editor    = {John Shawe{-}Taylor and Richard S. Zemel and Peter L. Bartlett and Fernando C. N. Pereira and Kilian Q. Weinberger},
  keywords  = {ovks},
  timestamp = {Thu, 11 Dec 2014 17:34:08 +0100},
  url       = {http://papers.nips.cc/book/advances-in-neural-information-processing-systems-24-2011},
}

@Misc{Bach2015,
  author       = {Francis Bach},
  title        = {On the Equivalence between Quadrature Rules and Random Features},
  howpublished = {HAl-report-/hal-01118276},
  year         = {2015},
  institution  = {INRIA - Ecole Normale SUperieure-France},
  keywords     = {ovks},
}

@Book{Bakir2007,
  title     = {Predicting Structured Data (Neural Information Processing)},
  publisher = {The MIT Press},
  year      = {2007},
  author    = {Bakir, G\"{u}khan H. and Hofmann, Thomas and Sch\"{o}lkopf, Bernhard and Smola, Alexander J. and Taskar, Ben and Vishwanathan, S. V. N.},
  isbn      = {0262026171},
  keywords  = {ovks},
}

@InCollection{Baldassare2010,
  author    = {Baldassarre, L. and Rosasco, L. and Barla, A. and Verri, A.},
  title     = {Vector Field Learning via Spectral Filtering},
  booktitle = {ECML/PKDD},
  publisher = {Springer Berlin / Heidelberg},
  year      = {2010},
  editor    = {Balcazar, J. and Bonchi, F. and Gionis, A. and Sebag, M.},
  volume    = {6321},
  series    = {LNCS},
  pages     = {56-71},
  keywords  = {ovks},
}

@Article{Baldassare2012,
  author   = {Baldassarre, L. and Rosasco, L. and Barla, A. and Verri, A.},
  title    = {Multi-output learning via spectral filtering},
  journal  = {Machine Learning},
  year     = {2012},
  volume   = {87},
  number   = {3},
  pages    = {259-301},
  keywords = {ovks},
}

@InCollection{Bazavan2012,
  author    = {Bazavan, G. and Li, Fuxin and Sminchisescu, Cristian},
  title     = {Fourier Kernel Learning},
  booktitle = {Computer Vision, ECCV 2012},
  publisher = {Springer},
  year      = {2012},
  editor    = {Fitzgibbon, A. and Lazebnik, S. and Perona, P. and Sato, Y. and Schmid, C.},
  series    = {Lecture Notes in Computer Science},
  pages     = {459-473},
  keywords  = {ovks},
}

@Book{Boucheron,
  title     = {Concentration Inequalities},
  publisher = {Oxford Press},
  year      = {2013},
  author    = {Boucheron, S. and Lugosi, G. and Massart, P.},
  keywords  = {ovks},
}

@Misc{Berberian66,
  author   = {Berberian, S.K.},
  title    = {Notes on Spectral Theory},
  year     = {1966},
  keywords = {ovks},
}
% data covertype

@Misc{Blackard99comparativeaccuracies,
  author   = {Jock A. Blackard and Denis J. Dean},
  title    = {Comparative accuracies of artificial neural networks and discriminant analysis in predicting forest cover types from cartographic variables},
  year     = {1999},
  journal  = {Computers anc Electronics in Agriculture},
  keywords = {ovks},
  number   = {3},
  pages    = {131--152},
  volume   = {24},
}

@Article{bousquet2002stability,
  author   = {Bousquet, Olivier and Elisseeff, Andr{\'e}},
  title    = {Stability and generalization},
  journal  = {Journal of Machine Learning Research},
  year     = {2002},
  volume   = {2},
  number   = {Mar},
  pages    = {499--526},
  keywords = {ovks},
}

@InProceedings{Brouard2011,
  author    = {Brouard, C. and {d}'Alch\'e-Buc, F. and Szafranski, M.},
  title     = {Semi-supervised Penalized Output Kernel Regression for Link Prediction},
  booktitle = {Proc. of the 28th Int. Conf. on Machine Learning},
  year      = {2011},
  keywords  = {ovks},
}

@PhdThesis{Brouard_these13,
  author   = {Brouard, C.},
  title    = {Inf\'erence de r\'eseaux d'interaction prot\'eine-prot\'eine par apprentissage statistique},
  school   = {University of Evry, France},
  year     = {2013},
  month    = feb,
  keywords = {ovks},
}

@Article{Brouard2016_jmlr,
  author   = {Brouard, C. and {d}'Alch\'e-Buc, F. and Szafranski, M.},
  title    = {Input Output Kernel Regression},
  journal  = {to appear in JMLR},
  year     = {2016},
  keywords = {ovks},
}

@InProceedings{brefeld2006efficient,
  author       = {Brefeld, Ulf and G{\"a}rtner, Thomas and Scheffer, Tobias and Wrobel, Stefan},
  title        = {Efficient co-regularised least squares regression},
  booktitle    = {Proceedings of the 23rd international conference on Machine learning},
  year         = {2006},
  pages        = {137--144},
  organization = {ACM},
  keywords     = {ovks},
}



%%% C

@Article{caponnetto2008,
  author   = {Caponnetto, A. and Micchelli, C. A. and , M. and Ying, Y.},
  title    = {Universal MultiTask Kernels},
  journal  = {Journal of Machine Learning Research},
  year     = {2008},
  volume   = {9},
  pages    = {1615--1646},
  keywords = {ovks},
}
% Universality

@Article{Carmeli2010,
  author   = {Carmeli, C. and De Vito, E. and Toigo, A. and Umanit\`a, V.},
  title    = {Vector valued reproducing kernel Hilbert spaces and universality},
  journal  = {Analysis and Applications},
  year     = {2010},
  volume   = {8},
  pages    = {19--61},
  keywords = {ovks},
}

@Article{carmeli2006vector,
  author    = {Carmeli, C. and De Vito, E. and Toigo, A.},
  title     = {Vector valued reproducing kernel Hilbert spaces of integrable functions and Mercer theorem},
  journal   = {Analysis and Applications},
  year      = {2006},
  volume    = {4},
  number    = {04},
  pages     = {377--408},
  keywords  = {ovks},
  publisher = {World Scientific},
}

@Article{chareka2006locally,
  author   = {Chareka, Patrick and Chareka, Ottilia and Kennedy, S},
  title    = {Locally sub-Gaussian random variables and the strong law of large numbers},
  journal  = {Atlantic Electronic Journal of Mathematics},
  year     = {2006},
  volume   = {1},
  number   = {1},
  pages    = {75--81},
  keywords = {ovks},
}

@InProceedings{ciliberto2015,
  author    = {Ciliberto, C. and Mroueh, Y. and Poggio, T. and Rosasco, L.},
  title     = {Convex {Learning} of {Multiple} {Tasks} and their {Structure}},
  booktitle = {Proc. of the 32nd {International} {Conference} on {Machine} {Learning}},
  year      = {2015},
  keywords  = {ovks},
}

@Article{cotaescu2016elements,
  author   = {Cotaescu, Ion I},
  title    = {Elements of Linear Algebra. Lecture Notes},
  journal  = {arXiv preprint arXiv:1602.03006},
  year     = {2016},
  keywords = {ovks},
}

@Article{cucker2001mathematical,
  author    = {Cucker, Felipe and Smale, Steve},
  title     = {On the mathematical foundation of learning},
  journal   = {AMERICAN MATHEMATICAL SOCIETY},
  year      = {2001},
  volume    = {39},
  number    = {1},
  pages     = {1--49},
  keywords  = {ovks},
  publisher = {AMERICAN MATHEMATICAL SOCIETY},
}

@Article{chechik2007eec,
  author   = {Globerson, A. and Chechik, G. and Pereira, F. and Tishby, N.},
  title    = {Euclidean Embedding of Co-occurrence Data},
  journal  = {Journal of Machine Learning Research},
  year     = {2007},
  volume   = {8},
  pages    = {2265--2295},
  keywords = {ovks},
}

@InProceedings{Chitta2011,
  author    = {R Chitta, R Jin, AK Jain},
  title     = {Efficient Kernel Clustering Using Random Fourier Features},
  booktitle = {Proc. of ICDM},
  year      = {2011},
  pages     = {161--170},
  keywords  = {ovks},
}

@Book{conway2013course,
  title     = {A course in functional analysis},
  publisher = {Springer Science \& Business Media},
  year      = {2013},
  author    = {Conway, John B},
  volume    = {96},
  keywords  = {ovks},
}

@InProceedings{Cortes2005,
  author    = {Cortes, C. and Mohri, M. and Weston, J.},
  title     = {A general regression technique for learning transductions},
  booktitle = {Proc. of the 22nd International Conference on Machine Learning},
  year      = {2005},
  pages     = {153--160},
  address   = {New York, NY, USA},
  publisher = {ACM},
  keywords  = {ovks},
}

@InProceedings{crammer02,
  author    = {Crammer, K. and Keshet, J. and Singer, Y.},
  title     = {Kernel design using boosting},
  booktitle = {Advances in NIPS},
  year      = {2002},
  volume    = {15},
  keywords  = {ovks},
}

@Proc.{DBLP:conf/uai/2015,
  title     = {Proc. of {UAI} 2015, July 12-16, 2015, Amsterdam, The Netherlands},
  year      = {2015},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  biburl    = {http://dblp.uni-trier.de/rec/bib/conf/uai/2015},
  editor    = {Marina Meila and Tom Heskes},
  isbn      = {978-0-9966431-0-8},
  keywords  = {ovks},
  publisher = {{AUAI} Press},
  timestamp = {Sun, 31 Jan 2016 16:35:16 +0100},
  url       = {http://auai.org/uai2015/Proc./uai-2015-Proc..pdf},
}
%%% D

@Article{DIP,
  author   = {Salwinski, L. and Miller, C. S. and Smith, A. J. and Pettit, F.K. and Bowie, J. U. and Eisenberg, D.},
  title    = {The Database of Interacting Proteins: 2004 update},
  journal  = {Nucleic Acids Research},
  year     = {2004},
  volume   = {32 (Database Issue)},
  pages    = {D449-D451},
  keywords = {ovks},
}

@Article{Deane2002,
  author   = {Deane, C. M. and Salwinski, L. and Xenarios, I. and Eisenberg, D.},
  title    = {Protein interactions: two methods for assessment of the reliability of high throughput observations},
  journal  = {Molecular \& Cellular Proteomics},
  year     = {2002},
  volume   = {1},
  number   = {5},
  pages    = {349-356},
  keywords = {ovks},
}

@Article{dengetal,
  author   = {Deng, M. and Sun, F. and Chen, T.},
  title    = {Assessment of the reliability of protein-protein interactions and protein function prediction.},
  journal  = {Pac Symp Biocomput},
  year     = {2003},
  pages    = {140--151},
  keywords = {ovks},
}

@InProceedings{Dinuzzo2011,
  author    = {Dinuzzo, F. and Ong, C.S. and Gehler, P. and Pillonetto, G.},
  title     = {Learning Output Kernels with Block Coordinate Descent},
  booktitle = {Proc. of the 28th Int. Conf. on Machine Learning},
  year      = {2011},
  keywords  = {ovks},
}

@Article{dudley1967sizes,
  author    = {Dudley, Richard M},
  title     = {The sizes of compact subsets of Hilbert space and continuity of Gaussian processes},
  journal   = {Journal of Functional Analysis},
  year      = {1967},
  volume    = {1},
  number    = {3},
  pages     = {290--330},
  keywords  = {ovks},
  publisher = {Elsevier},
}



%%% E

@Article{Eisen_pnas98,
  author   = {Eisen, M. B. and Spellman, P. T. and Brown, P. O. and Botstein, D.},
  title    = {Cluster analysis and display of genome-wide expression patterns},
  journal  = {Proc. of the National Academy of Sciences of the USA},
  year     = {1998},
  volume   = {95},
  number   = {25},
  pages    = {14863--14868},
  keywords = {ovks},
}

@Article{Evgeniou2005,
  author   = {Evgeniou, T. and Micchelli, C. A. and Pontil, M.},
  title    = {Learning Multiple Tasks with kernel methods},
  journal  = {JMLR},
  year     = {2005},
  volume   = {6},
  pages    = {615--637},
  keywords = {ovks},
}

%%% F

@Article{fercoq2013smooth,
  author   = {Fercoq, Olivier and Richt{\'a}rik, Peter},
  title    = {Smooth minimization of nonsmooth functions with parallel coordinate descent methods},
  journal  = {arXiv preprint arXiv:1309.5885},
  year     = {2013},
  keywords = {ovks},
}

@Article{fercoq2015accelerated,
  author    = {Fercoq, Olivier and Richt{\'a}rik Peter},
  title     = {Accelerated, parallel, and proximal coordinate descent},
  journal   = {SIAM Journal on Optimization},
  year      = {2015},
  volume    = {25},
  number    = {4},
  pages     = {1997--2023},
  keywords  = {ovks},
  publisher = {SIAM},
}

@Article{falb1969theorem,
  author   = {Falb, Peter L},
  title    = {On a theorem of Bochner},
  journal  = {Publications Math{\'e}matiques de l'IH{\'E}S},
  year     = {1969},
  volume   = {36},
  pages    = {59--67},
  keywords = {ovks},
}

@Book{folland1994course,
  title     = {A course in abstract harmonic analysis},
  publisher = {CRC press},
  year      = {1994},
  author    = {Folland, Gerald B},
  keywords  = {ovks},
}

@Article{fong2011lsmr,
  author    = {Fong, David Chin-Lung and Saunders, Michael},
  title     = {LSMR: An iterative algorithm for sparse least-squares problems},
  journal   = {SIAM Journal on Scientific Computing},
  year      = {2011},
  volume    = {33},
  number    = {5},
  pages     = {2950--2971},
  keywords  = {ovks},
  publisher = {SIAM},
}

@PhdThesis{Fuselier2006,
  author   = {Fuselier, E.},
  title    = {Refined Error Estimates for Matrix-Valued Radial Basis Functions},
  school   = {Texas A\&M University},
  year     = {2006},
  keywords = {ovks},
}

@Misc{fukumizu2008elements,
  author    = {Fukumizu, Kenji},
  title     = {Elements of Positive Definite Kernel and Reproducing Kernel Hilbert Space},
  year      = {2008},
  publisher = {Institute of Statistical Mathematics, ROIS, Graduate University for Advanced Studies},
}


%%% G

@Misc{eigenweb,
  author   = {Ga\"{e}l Guennebaud and Beno\^{i}t Jacob and others},
  title    = {Eigen v3},
  year     = {2010},
  keywords = {ovks},
  url      = {http://eigen.tuxfamily.org},
}

@InProceedings{Geurts_icml06,
  author    = {Geurts, P. and Wehenkel, L. and {d}'Alch\'e-Buc, F.},
  title     = {Kernelizing the output of tree-based methods},
  booktitle = {Proc. of the 23th International Conference on Machine learning},
  year      = {2006},
  pages     = {345--352},
  keywords  = {ovks},
}

@Article{Geurts_bmcbioinfo07,
  author   = {Geurts, P. and Touleimat, N. and Dutreix, M. and {d}'Alch\'e-Buc, F.},
  title    = {Inferring biological networks with output kernel trees},
  journal  = {BMC Bioinformatics (PMSB06 special issue)},
  year     = {2007},
  volume   = {8},
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%%%%%%%%%% J

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%%% K

@Article{kadri2015operator,
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@InProceedings{Kadri_aistat10,
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@InProceedings{Kadri_nips2012,
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@InProceedings{Kadri_icml2013,
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@InProceedings{Kashima_icdm09,
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%%%%%%%%%%%% L

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@Article{lim2015operator,
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% fastfood

@InProceedings{Le2013,
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@Article{Lim2013,
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@InProceedings{Luo2013,
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%%% M

@InProceedings{maurer2016vector,
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@TechReport{Macedo2008,
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%%% N

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%%% O

@Article{oliveira2009concentration,
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%%% P

@Article{parikh2014proximal,
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%Auteur :   George B Pedrick
%Éditeur :  Lawrence, Kan. 1957
%Collection :   Studies in eigenvalue problems; Technical report

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%%% Q

@Article{Pearce2006,
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%%% R

@InProceedings{Rahimi2007,
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@InProceedings{rahimi2009weighted,
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}

@Article{Ralaivola_nips03,
  author   = {Ralaivola, L. and {d}'Alch\'e-Buc, F.},
  title    = {Dynamical Modeling with Kernels for Nonlinear Time Series Prediction},
  journal  = {Advances in NIPS},
  year     = {2003},
  keywords = {ovks},
}

@Article{Ralaivola2005,
  author    = {Ralaivola, L. and Swamidass, S. J. and Saigo, H. and Baldi, P.},
  title     = {Graph kernels for chemical informatics},
  journal   = {Neural Network},
  year      = {2005},
  volume    = {18},
  number    = {8},
  pages     = {1093--1110},
  month     = oct,
  address   = {Oxford, UK, UK},
  keywords  = {ovks},
  publisher = {Elsevier Science Ltd.},
}

@Article{richtarik2016parallel,
  author    = {Richt{\'a}rik, Peter and Tak{\'a}{\v{c}}, Martin},
  title     = {Parallel coordinate descent methods for big data optimization},
  journal   = {Mathematical Programming},
  year      = {2016},
  volume    = {156},
  number    = {1-2},
  pages     = {433--484},
  keywords  = {ovks},
  publisher = {Springer},
}

@Article{rosasco2010learning,
  author   = {Rosasco, Lorenzo and Belkin, Mikhail and Vito, Ernesto De},
  title    = {On learning with integral operators},
  journal  = {Journal of Machine Learning Research},
  year     = {2010},
  volume   = {11},
  number   = {Feb},
  pages    = {905--934},
  keywords = {ovks},
}

@Book{Rudin,
  title     = {Fourier Analysis on groups},
  publisher = {Wiley},
  year      = {1994},
  author    = {W. Rudin},
  keywords  = {ovks},
}

@Article{RCV1:JMLR,
  author     = {Lewis, David D. and Yang, Yiming and Rose, Tony G. and Li, Fan},
  title      = {{RCV1}: A New Benchmark Collection for Text Categorization Research},
  journal    = {Journal of Machine Learning Research},
  year       = {2004},
  volume     = {5},
  pages      = {361--397},
  month      = dec,
  issn       = {1532-4435},
  issue_date = {12/1/2004},
  keywords   = {ovks},
}

@Article{rosenberg2009kernel,
  author    = {Rosenberg, D and Sindhwani, Vikas and Bartlett, P and Niyogi, Partha},
  title     = {A kernel for semi-supervised learning with multi-view point cloud regularization},
  journal   = {IEEE Signal Processing Magazine},
  year      = {2009},
  volume    = {26},
  number    = {5},
  pages     = {145--150},
  keywords  = {ovks},
  publisher = {Citeseer},
}

@Article{Ricci2009,
  author   = {Ricci, E. and De Bie, T. and Cristianini, N.},
  title    = {Magic Moments for Structured Output Prediction},
  journal  = {Journal of Machine Learning Research},
  year     = {2008},
  number   = {9},
  pages    = {2803--2846},
  month    = dec,
  keywords = {ovks},
}

@TechReport{Rifkin2007,
  author      = {Rifkin, R. M. and Lippert, R. A.},
  title       = {Notes on Regularized Least-Squares},
  institution = {MIT, Computer Science and Artificial Intelligence Laboratory},
  year        = {2007},
  keywords    = {ovks},
}

%%% S

@Article{sangnier2016joint,
  author    = {Sangnier, Maxime and Fercoq, Olivier and d'Alch{\'e}-Buc, Florence},
  title     = {Joint quantile regression in vector-valued RKHSs},
  journal   = {Neural Information Processing Systems},
  year      = {2016},
  booktitle = {Advances in NIPS},
  keywords  = {ovks},
}

@Article{smale2007learning,
  author    = {Smale, Steve and Zhou, Ding-Xuan},
  title     = {Learning theory estimates via integral operators and their approximations},
  journal   = {Constructive approximation},
  year      = {2007},
  volume    = {26},
  number    = {2},
  pages     = {153--172},
  keywords  = {ovks},
  publisher = {Springer},
}

@Article{smola1998connection,
  author    = {Smola, Alex J and Sch{\"o}lkopf, Bernhard and M{\"u}ller, Klaus-Robert},
  title     = {The connection between regularization operators and support vector kernels},
  journal   = {Neural networks},
  year      = {1998},
  volume    = {11},
  number    = {4},
  pages     = {637--649},
  keywords  = {ovks},
  publisher = {Elsevier},
}

@Article{sonneveld2008idr,
  author    = {Sonneveld, Peter and van Gijzen, Martin B},
  title     = {IDR (s): A family of simple and fast algorithms for solving large nonsymmetric systems of linear equations},
  journal   = {SIAM Journal on Scientific Computing},
  year      = {2008},
  volume    = {31},
  number    = {2},
  pages     = {1035--1062},
  keywords  = {ovks},
  publisher = {SIAM},
}

% dataset network intrusion

@InProceedings{Stolfo2000,
  author    = {Salvatore J. Stolfo and Wei Fan and Wenke Lee and Andreas Prodromidis and Philip K. Chan},
  title     = {Cost-based Modeling for Fraud and Intrusion Detection: Results from the JAM Project},
  booktitle = {In Proc. of the 2000 DARPA Information Survivability Conference and Exposition},
  year      = {2000},
  pages     = {130--144},
  publisher = {IEEE Computer Press},
  keywords  = {ovks},
}

@Book{Scholkopf-book02,
  title     = {Learning with kernels},
  publisher = {MIT Press},
  year      = {2002},
  author    = {Scholkopf, B. and Smola, A. J.},
  keywords  = {ovks},
}

@Article{Senkene73,
  author   = {Senkene, E. and {Tempel'man}, A.},
  title    = {Hilbert Spaces of operator-valued functions},
  journal  = {Lithuanian Mathematical Journal},
  year     = {1973},
  volume   = {13},
  number   = {4},
  pages    = {665--670},
  keywords = {ovks},
}

@Book{Shawe-Taylor_book04,
  title     = {Kernel methods for pattern analysis},
  publisher = {Cambridge University Press},
  year      = {2004},
  author    = {Shawe-Taylor, J. and Cristianini, N.},
  keywords  = {ovks},
}

@TechReport{Sheldon2008,
  author      = {Sheldon, D.},
  title       = {Graphical multi-task learning},
  institution = {Cornell University},
  year        = {2008},
  keywords    = {ovks},
  url         = {http://web.engr.oregonstate.edu/~sheldon/},
}

@Article{Spellman_mboc98,
  author   = {Spellman, P. T. and Sherlock, G. and Zhang, M. Q. and Iyer, V. R. and Anders, K. and Eisen, M. B. and Brown, P. O. and Botstein, B. and Futcher, B.},
  title    = {Comprehensive Identification of Cell Cycle-regulated Genes of the Yeast Saccharomyces cerevisiae by Microarray Hybridization},
  journal  = {Molecular Biology of the Cell},
  year     = {1998},
  volume   = {9},
  number   = {12},
  pages    = {3273--3297},
  keywords = {ovks},
}

@Article{Stone1974,
  author   = {Stone, M.},
  title    = {Cross-Validatory Choice and Assessment of Statistical Predictions},
  journal  = {Journal of the Royal Statistical Society},
  year     = {1974},
  volume   = {36},
  number   = {2},
  pages    = {111-147},
  keywords = {ovks},
}
  download as .bib file

@InProceedings{sindhwani2008rkhs,
  author       = {Sindhwani, Vikas and Rosenberg, David S},
  title        = {An RKHS for multi-view learning and manifold co-regularization},
  booktitle    = {Proceedings of the 25th international conference on Machine learning},
  year         = {2008},
  pages        = {976--983},
  organization = {ACM},
  keywords     = {ovks},
}

@InProceedings{UAI2013,
  title     = {Proc. of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, Bellevue, WA, USA, August 11-15, 2013},
  year      = {2013},
  publisher = {{AUAI} Press, Corvallis, Oregon},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  biburl    = {http://dblp.uni-trier.de/rec/bib/conf/uai/2013},
  keywords  = {ovks},
  timestamp = {Fri, 26 Sep 2014 15:12:28 +0200},
}

@InProceedings{sriper2015,
  author    = {Sriperumbudur, Bharath and Szabo, Zoltan},
  title     = {Optimal Rates for Random Fourier Features},
  booktitle = {Advances in NIPS 28},
  year      = {2015},
  editor    = {C. Cortes and N.D. Lawrence and D.D. Lee and M. Sugiyama and R. Garnett},
  pages     = {1144--1152},
  keywords  = {ovks},
}

@InProceedings{Su2010,
  author    = {Su, H. and Heinonen, M. and Rousu, J.},
  title     = {Structured output prediction of anti-cancer drug activity},
  booktitle = {Proc. of the 5th IAPR International Conference on Pattern Recognition In Bioinformatics},
  year      = {2010},
  series    = {PRIB'10},
  pages     = {38-49},
  address   = {Berlin, Heidelberg},
  publisher = {Springer-Verlag},
  keywords  = {ovks},
  location  = {Nijmegen, The Netherlands},
}

@InProceedings{sutherland2015,
  author    = {Dougal J. Sutherland and Jeff G. Schneider},
  title     = {On the Error of Random Fourier Features},
  booktitle = {Proc. of {UAI} 2015, July 12-16, 2015, Amsterdam, The Netherlands},
  year      = {2015},
  pages     = {862--871},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  biburl    = {http://dblp.uni-trier.de/rec/bib/conf/uai/SutherlandS15},
  keywords  = {ovks},
  timestamp = {Sun, 31 Jan 2016 16:36:08 +0100},
}

@InProceedings{sun2011multi,
  author       = {Sun, Shiliang},
  title        = {Multi-view Laplacian support vector machines},
  booktitle    = {International Conference on Advanced Data Mining and Applications},
  year         = {2011},
  pages        = {209--222},
  organization = {Springer},
  keywords     = {ovks},
}

@TechReport{Szedmak_mmr05,
  author      = {Szedmak, S. and Shawe-Taylor, J. and Parado-Hernandez, E.},
  title       = {Learning via Linear Operators: Maximum Margin Regression},
  institution = {University of Southampton, UK},
  year        = {2005},
  keywords    = {ovks},
}

%%% T

@InProceedings{Taskar_M3N,
  author    = {Taskar, B. and Guestrin, C. and Koller, D.},
  title     = {Max-Margin Markov Networks},
  booktitle = {Advances in NIPS},
  year      = {2003},
  keywords  = {ovks},
}

@Misc{tornier2014haar,
  author       = {Tornier, Stephan},
  title        = {Haar measures},
  howpublished = {\url{https://people.math.ethz.ch/~torniers/download/2014/haar_measures.pdf}},
  year         = {2014},
  keywords     = {ovks},
}

@Article{Tropp,
  author    = {Tropp, J. A},
  title     = {User-friendly tail bounds for sums of random matrices},
  journal   = {Foundations of computational mathematics},
  year      = {2012},
  volume    = {12},
  number    = {4},
  pages     = {389--434},
  keywords  = {ovks},
  publisher = {Springer},
}

@Article{tropp2015introduction,
  author    = {Tropp, Joel A and others},
  title     = {An introduction to matrix concentration inequalities},
  journal   = {Foundations and Trends{\textregistered} in Machine Learning},
  year      = {2015},
  volume    = {8},
  number    = {1-2},
  pages     = {1--230},
  keywords  = {ovks},
  publisher = {Now Publishers, Inc.},
}

@Article{tsuda03-em,
  author   = {Tsuda, K. and Akaho, S. and Asai, K.},
  title    = {The EM algorithm for kernel matrix completion with auxiliary data},
  journal  = {Journal of Machine Learning Research},
  year     = {2003},
  volume   = {4},
  pages    = {67-81},
  keywords = {ovks},
}

%%% U

@Article{Uetz_nature00,
  author   = {Uetz, P. and Giot, L. and Cagney, G. and Mansfield, T. A. and Judson, R. S. and Knight, J. R. and Lockshon, D. and Narayan, V. and Srinivasan, M. and Pochart, P. and A Qureshi-Emili, A. and Li, Y. and Godwin, B. and Conover, D. and Kalbfleisch, T. and Vijayadamodar, G. and Yang, M. and Johnston, M. and Fields, S. and Rothberg, J. M.},
  title    = {A comprehensive analysis of protein--protein interactions in Saccharomyces cerevisiae},
  journal  = {Nature},
  year     = {2000},
  volume   = {403},
  pages    = {623--627},
  keywords = {ovks},
}

%%% V

@InProceedings{vapnik1992principles,
  author    = {Vapnik, Vladimir},
  title     = {Principles of risk minimization for learning theory},
  booktitle = {Advances in neural information processing systems},
  year      = {1992},
  pages     = {831--838},
  keywords  = {ovks},
}

@InCollection{van1996weak,
  author    = {Van Der Vaart, A. W and Wellner, J. A},
  title     = {Weak Convergence},
  booktitle = {Weak Convergence and Empirical Processes},
  publisher = {Springer},
  year      = {1996},
  pages     = {16--28},
  keywords  = {ovks},
}

@InProceedings{vazquez2003multi,
  author    = {Vazquez, Emmanuel and Walter, Eric},
  title     = {Multi-output support vector regression},
  booktitle = {13th IFAC Symposium on System Identification},
  year      = {2003},
  pages     = {1820--1825},
  keywords  = {ovks},
}

@InProceedings{Vert2005,
  author    = {Vert, J.-P. and Yamanishi, Y.},
  title     = {Supervised graph inference},
  booktitle = {Advances in NIPS},
  year      = {2005},
  pages     = {1433-1440},
  keywords  = {ovks},
}

@Article{vertregularization,
  author    = {Vert, Jean-Philippe},
  title     = {Regularization of Kernel Methods by Decreasing the Bandwidth of the Gaussian Kernel},
  keywords  = {ovks},
  publisher = {Citeseer},
}

@Article{vonMering_nature02,
  author   = {von Mering, C. and Krause, R. and Snel, B. and Cornell, M. and Oliver, S. G. and Fields, S. and Bork, P.},
  title    = {Comparative assessment of large-scale data sets of protein--protein interactions},
  journal  = {Nature},
  year     = {2002},
  volume   = {417},
  pages    = {399--403},
  keywords = {ovks},
}

%%% W

@Book{Wahba90,
  title     = {Spline model for observational data},
  publisher = {Philadelphia, Society for Industrial and Applied Mathematics},
  year      = {1990},
  author    = {Wahba, G.},
  keywords  = {ovks},
}

@Article{walt2011numpy,
  author    = {Walt, St{\'e}fan van der and Colbert, S Chris and Varoquaux, Gael},
  title     = {The NumPy array: a structure for efficient numerical computation},
  journal   = {Computing in Science \& Engineering},
  year      = {2011},
  volume    = {13},
  number    = {2},
  pages     = {22--30},
  keywords  = {ovks},
  publisher = {IEEE},
}

@InProceedings{Wahlstrom2013,
  author    = {N. Wahlstr\"{o}m and M. Kok and T.B. Sch\"{o}n and Fredrik Gustafsson},
  title     = {Modeling magnetic fields using Gaussian processes},
  booktitle = {in Proc. of the 38th ICASSP},
  year      = {2013},
  keywords  = {ovks},
}

@InCollection{Williams2000-nystrom,
  author    = {Christopher K. I. Williams and Matthias Seeger},
  title     = {Using the Nystr\"{o}m Method to Speed Up Kernel Machines},
  booktitle = {Advances in Neural Information Processing Systems 13},
  publisher = {MIT Press},
  year      = {2001},
  editor    = {T. K. Leen and T. G. Dietterich and V. Tresp},
  pages     = {682--688},
  keywords  = {ovks},
}
@InProceedings{Whang_naacl07_mmr,
  author    = {Wang, Z. and Shawe-Taylor, J. and Szedmak, S.},
  title     = {Kernel regression based machine translation},
  booktitle = {Proc. of North American Association for Computational Linguistics / Human Language Technology},
  year      = {2007},
  pages     = {185--188},
  address   = {East Stroudsburg, PA, USA},
  publisher = {Association for Computational Linguistics},
  keywords  = {ovks},
}

@InProceedings{Weston03,
  author    = {Weston, J. and Chapelle, O. and Elisseeff, A. and Sch\"{o}lkopf, B. and Vapnik, V.},
  title     = {Kernel dependency estimation},
  booktitle = {Advances in NIPS 15},
  year      = {2003},
  editor    = {Becker, S. and Thrun, S. and Obermayer, K.},
  publisher = {MIT Press},
  keywords  = {ovks},
}

%%% Y

@InProceedings{Yang2015,
  author    = {Zichao Yang and Andrew Gordon Wilson and Alexander J. Smola and Le Song},
  title     = {A la Carte - Learning Fast Kernels},
  booktitle = {Proc. of {AISTATS} 2015, San Diego, California, USA, 2015},
  year      = {2015},
  bibsource = {dblp computer science bibliography, http://dblp.org},
  biburl    = {http://dblp.uni-trier.de/rec/bib/conf/aistats/YangWSS15},
  keywords  = {ovks},
  timestamp = {Thu, 07 May 2015 20:10:44 +0200},
}

@Proc.{aistats2015,
  title     = {Proc. of 8th Conf. on AISTAT, {AISTATS} 2015, San Diego, California, USA, May 9-12, 2015},
  year      = {2015},
  editor    = {Guy Lebanon and S. V. N. Vishwanathan},
  keywords  = {ovks},
  publisher = {JMLR.org},
  series    = {{JMLR} Proc.},
  volume    = {38},
}

@InProceedings{Yang2012,
  author    = {Yang, T. and Li, Y.-F. and Mahdavi, M. and Jin, R. and Zhou, Z.},
  title     = {Nystr\"{o}m Method vs Random Fourier Features: A Theoretical and Empirical Comparison},
  booktitle = {NIPS 25},
  year      = {2012},
  editor    = {F. Pereira and C.J.C. Burges and L. Bottou and K.Q. Weinberger},
  pages     = {476--484},
  keywords  = {ovks},
}

@Article{Yamanishi_bioinfo04,
  author    = {Yamanishi, Y. and Vert, J.-P. and Kanehisa, M.},
  title     = {Protein network inference from multiple genomic data: a supervised approach},
  journal   = {Bioinformatics},
  year      = {2004},
  volume    = {20},
  pages     = {i363-i370},
  address   = {Oxford, UK},
  keywords  = {ovks},
  publisher = {Oxford University Press},
}

@Article{Yamanishi_bioinfo05,
  author   = {Yamanishi, Y. and Vert, J.-P. and Kanehisa, M.},
  title    = {Supervised enzyme network inference from the integration of genomic data and chemical information},
  journal  = {Bioinformatics},
  year     = {2005},
  volume   = {21},
  pages    = {i468-i477},
  keywords = {ovks},
}

@Article{Yip_bioinfo09,
  author   = {Yip, K. Y. and Gerstein, M.},
  title    = {Training set expansion: an approach to improving the reconstruction of biological networks from limited and uneven reliable interactions},
  journal  = {Bioinformatics},
  year     = {2009},
  volume   = {25},
  number   = {2},
  pages    = {243--250},
  keywords = {ovks},
}

%%% Z

@Article{zhou2002covering,
  author    = {Zhou, Ding-Xuan},
  title     = {The covering number in learning theory},
  journal   = {Journal of Complexity},
  year      = {2002},
  volume    = {18},
  number    = {3},
  pages     = {739--767},
  keywords  = {ovks},
  publisher = {Elsevier},
}

@InProceedings{Zhou_nips04,
  author    = {Zhou, D. and Bousquet, O. and Lal, T. N. and Weston, J. and {Sch\"{o}lkopf}, B.},
  title     = {Learning with Local and Global Consistency},
  booktitle = {Advances in NIPS 16},
  year      = {2004},
  address   = {Cambridge, MA},
  publisher = {MIT Press},
  keywords  = {ovks},
}
% Zhang : refinement / bochner theorem

@Article{Zhang2012,
  author   = {Zhang, Haizhang and Xu, Yuesheng and Zhang, Qinghui},
  title    = {Refinement of Operator-valued Reproducing Kernels.},
  journal  = {Journal of Machine Learning Research},
  year     = {2012},
  volume   = {13},
  pages    = {91-136},
  keywords = {ovks},
}

@Article{rudi2016generalization,
  author   = {Rudi, Alessandro and Camoriano, Raffaello and Rosasco, Lorenzo},
  title    = {Generalization properties of learning with random features},
  journal  = {arXiv preprint arXiv:1602.04474},
  year     = {2016},
  keywords = {ovks},
}



%%% B

@Article{bach2015equivalence,
  author    = {Bach, Francis},
  title     = {On the equivalence between quadrature rules and random features},
  journal   = {arXiv preprint arXiv:1502.06800},
  year      = {2015},
  keywords  = {ovks},
  publisher = {arXiv},
}

@InProceedings{dai2014scalable,
  author    = {Dai, Bo and Xie, Bo and He, Niao and Liang, Yingyu and Raj, Anant and Balcan, Maria-Florina F and Song, Le},
  title     = {Scalable kernel methods via doubly stochastic gradients},
  booktitle = {Advances in Neural Information Processing Systems},
  year      = {2014},
  pages     = {3041--3049},
  keywords  = {ovks},
}
%%% D

@InProceedings{dinuzzo2011learning,
  author    = {Dinuzzo, Francesco and Fukumizu, Kenji},
  title     = {Learning low-rank output kernels.},
  booktitle = {ACML},
  year      = {2011},
  pages     = {181--196},
  keywords  = {ovks},
}

@Article{sleijpen2010bi,
  author    = {Sleijpen, Gerard LG and Sonneveld, Peter and Van Gijzen, Martin B},
  title     = {Bi-CGSTAB as an induced dimension reduction method},
  journal   = {Applied Numerical Mathematics},
  year      = {2010},
  volume    = {60},
  number    = {11},
  pages     = {1100--1114},
  keywords  = {ovks},
  publisher = {Elsevier},
}

@InProceedings{liu2010learning,
  author    = {Liu, Yan and Niculescu-Mizil, Alexandru and Lozano, Aurelie C and Lu, Yong},
  title     = {Learning temporal causal graphs for relational time-series analysis},
  booktitle = {Proceedings of the 27th International Conference on Machine Learning (ICML-10)},
  year      = {2010},
  pages     = {687--694},
  keywords  = {ovks},
}

@Article{von2007tutorial,
  author    = {Von Luxburg, Ulrike},
  title     = {A tutorial on spectral clustering},
  journal   = {Statistics and computing},
  year      = {2007},
  volume    = {17},
  number    = {4},
  pages     = {395--416},
  keywords  = {ovks},
  publisher = {Springer},
}

@Article{kivinen2004online,
  author    = {Kivinen, Jyrki and Smola, Alexander J and Williamson, Robert C},
  title     = {Online learning with kernels},
  journal   = {IEEE transactions on signal processing},
  year      = {2004},
  volume    = {52},
  number    = {8},
  pages     = {2165--2176},
  keywords  = {ovks},
  publisher = {IEEE},
}


%%% P

@Article{penzl1998numerical,
  author    = {Penzl, Thilo},
  title     = {Numerical solution of generalized Lyapunov equations},
  journal   = {Advances in Computational Mathematics},
  year      = {1998},
  volume    = {8},
  number    = {1},
  pages     = {33--48},
  keywords  = {ovks},
  publisher = {Springer},
}

@Article{byrd1995limited,
  author    = {Byrd, Richard H and Lu, Peihuang and Nocedal, Jorge and Zhu, Ciyou},
  title     = {A limited memory algorithm for bound constrained optimization},
  journal   = {SIAM Journal on Scientific Computing},
  year      = {1995},
  volume    = {16},
  number    = {5},
  pages     = {1190--1208},
  keywords  = {ovks},
  publisher = {SIAM},
}

%%% S

@Article{samuel1959some,
  author    = {Samuel, Arthur L},
  title     = {Some studies in machine learning using the game of checkers},
  journal   = {IBM Journal of research and development},
  year      = {1959},
  volume    = {3},
  number    = {3},
  pages     = {210--229},
  keywords  = {ovks},
  publisher = {IBM},
}

@Book{cornuejols2011apprentissage,
  title     = {Apprentissage artificiel: concepts et algorithmes},
  publisher = {Editions Eyrolles},
  year      = {2011},
  author    = {Cornu{\'e}jols, Antoine and Miclet, Laurent},
  keywords  = {ovks},
}

@Article{drineas2005nystrom,
  author   = {Drineas, Petros and Mahoney, Michael W},
  title    = {On the Nystr{\"o}m method for approximating a Gram matrix for improved kernel-based learning},
  journal  = {journal of machine learning research},
  year     = {2005},
  volume   = {6},
  number   = {Dec},
  pages    = {2153--2175},
  keywords = {ovks},
}

%%% V

@Book{Vapnik1998,
  title     = {Statistical learning theory},
  publisher = {Wiley New York},
  year      = {1998},
  author    = {Vapnik, Vladimir Naumovich},
  volume    = {1},
  keywords  = {ovks},
}

@Article{hoffgen1995robust,
  author    = {Hoffgen, Klaus-Uwe and Simon, Hans-Ulrich and Vanhorn, Kevin S},
  title     = {Robust trainability of single neurons},
  journal   = {Journal of Computer and System Sciences},
  year      = {1995},
  volume    = {50},
  number    = {1},
  pages     = {114--125},
  keywords  = {ovks},
  publisher = {Elsevier},
}

@Article{box1979robustness,
  author   = {Box, George EP},
  title    = {Robustness in the strategy of scientific model building},
  journal  = {Robustness in statistics},
  year     = {1979},
  volume   = {1},
  pages    = {201--236},
  keywords = {ovks},
}

@InProceedings{mukuta2016kernel,
  author    = {Mukuta, Yusuke and Harada, Tatsuya},
  title     = {Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  year      = {2016},
  pages     = {5222--5230},
  keywords  = {ovks},
}

%%% F

@InProceedings{felix2016orthogonal,
  author    = {Felix, X Yu and Suresh, Ananda Theertha and Choromanski, Krzysztof M and Holtmann-Rice, Daniel N and Kumar, Sanjiv},
  title     = {Orthogonal random features},
  booktitle = {Advances in Neural Information Processing Systems},
  year      = {2016},
  pages     = {1975--1983},
  keywords  = {ovks},
}

@InProceedings{yang2015deep,
  author    = {Yang, Zichao and Moczulski, Marcin and Denil, Misha and de Freitas, Nando and Smola, Alex and Song, Le and Wang, Ziyu},
  title     = {Deep fried convnets},
  booktitle = {Proceedings of the IEEE International Conference on Computer Vision},
  year      = {2015},
  pages     = {1476--1483},
  keywords  = {ovks},
}

%%% X

@InProceedings{xie2015scale,
  author    = {Xie, Bo and Liang, Yingyu and Song, Le},
  title     = {Scale up nonlinear component analysis with doubly stochastic gradients},
  booktitle = {Advances in Neural Information Processing Systems},
  year      = {2015},
  pages     = {2341--2349},
  keywords  = {ovks},
}

@InProceedings{yang2014random,
  author    = {Yang, Jiyan and Sindhwani, Vikas and Fan, Quanfu and Avron, Haim and Mahoney, Michael W},
  title     = {Random laplace feature maps for semigroup kernels on histograms},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  year      = {2014},
  pages     = {971--978},
  keywords  = {ovks},
}


%%% Y

@InProceedings{yang2014quasi,
  author    = {Yang, Jiyan and Sindhwani, Vikas and Avron, Haim and Mahoney, Michael},
  title     = {Quasi-Monte Carlo feature maps for shift-invariant kernels},
  booktitle = {Proceedings of The 31st International Conference on Machine Learning (ICML-14)},
  year      = {2014},
  pages     = {485--493},
  keywords  = {ovks},
}

@InProceedings{hamid2014compact,
  author    = {Hamid, Raffay and Xiao, Ying and Gittens, Alex and DeCoste, Dennis},
  title     = {Compact Random Feature Maps.},
  booktitle = {ICML},
  year      = {2014},
  pages     = {19--27},
  keywords  = {ovks},
}

%Auteur :   George B Pedrick
%Éditeur :  Lawrence, Kan. 1957
%Collection :   Studies in eigenvalue problems; Technical report

@InProceedings{pham2013fast,
  author       = {Pham, Ninh and Pagh, Rasmus},
  title        = {Fast and scalable polynomial kernels via explicit feature maps},
  booktitle    = {Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining},
  year         = {2013},
  pages        = {239--247},
  organization = {ACM},
  keywords     = {ovks},
}

@InProceedings{kar2012random,
  author    = {Kar, Purushottam and Karnick, Harish},
  title     = {Random Feature Maps for Dot Product Kernels.},
  booktitle = {AISTATS},
  year      = {2012},
  volume    = {22},
  pages     = {583--591},
  keywords  = {ovks},
}

@Article{avramidi2000notes,
  author   = {Avramidi, Ivan},
  title    = {Notes on Hilbert Spaces},
  year     = {2000},
  keywords = {ovks},
}


%%%%%%%%%%%% L

@Article{lecun1995convolutional,
  author   = {LeCun, Yann and Bengio, Yoshua and others},
  title    = {Convolutional networks for images, speech, and time series},
  journal  = {The handbook of brain theory and neural networks},
  year     = {1995},
  volume   = {3361},
  number   = {10},
  pages    = {1995},
  keywords = {ovks},
}

@Book{Mohri2012,
  title     = {Foundations of Machine Learning},
  publisher = {The MIT press},
  year      = {2012},
  author    = {Mohri, M. and Rostamizadeh, A. and Talwalkar, A.},
  keywords  = {ovks},
}

@InProceedings{shalev2007pegasos,
  author       = {Shalev-Shwartz, Shai and Singer, Yoram and Srebro, Nathan},
  title        = {Pegasos: Primal estimated sub-gradient solver for svm},
  booktitle    = {Proceedings of the 24th international conference on Machine learning},
  year         = {2007},
  pages        = {807--814},
  organization = {ACM},
  keywords     = {ovks},
}

@Article{christmann2007,
  author    = {Christmann, Andreas and Steinwart, Ingo},
  title     = {Consistency and robustness of kernel-based regression in convex risk minimization},
  journal   = {Bernoulli},
  year      = {2007},
  volume    = {13},
  number    = {3},
  pages     = {799--819},
  month     = aug,
  keywords  = {ovks},
  publisher = {Bernoulli Society for Mathematical Statistics and Probability},
}
% Universality

@Article{caponnetto2007-consistency,
  author   = {Caponnetto, A. and De Vito E.},
  title    = {Optimal Rates for Regularized Least-Squares Algorithm},
  journal  = {Foundations of Computational Mathematics},
  year     = {2007},
  volume   = {7(3)},
  pages    = {331-368},
  keywords = {ovks},
}

@Book{Shawe-TaylorBook,
  title     = {Kernel Methods for Pattern Analysis},
  publisher = {Cambridge press},
  year      = {2004},
  author    = {Shawe-Taylor, J. and Cristianini, N.},
  keywords  = {ovks},
}

@Book{Berlinet2003,
  title     = {Reproducing Kernel Hilbert Spaces in Probability and Statistics},
  publisher = {Springer},
  year      = {2003},
  author    = {Berlinet, A. and Thomas-Agnan, C.},
  keywords  = {ovks},
}

@Article{platt199912,
  author   = {Platt, John C},
  title    = {12 fast training of support vector machines using sequential minimal optimization},
  journal  = {Advances in kernel methods},
  year     = {1999},
  pages    = {185--208},
  keywords = {ovks},
}

@InProceedings{boser1992training,
  author       = {Boser, Bernhard E and Guyon, Isabelle M and Vapnik, Vladimir N},
  title        = {A training algorithm for optimal margin classifiers},
  booktitle    = {Proceedings of the fifth annual workshop on Computational learning theory},
  year         = {1992},
  pages        = {144--152},
  organization = {ACM},
  keywords     = {ovks},
}

@InProceedings{Boser1992,
  author    = {Bernhard E. Boser and et al.},
  title     = {A training algorithm for optimal margin classifiers},
  booktitle = {proc. of the 5th COLT workshop},
  year      = {1992},
  pages     = {144--152},
  publisher = {ACM Press},
  keywords  = {ovks},
}
%%% K

@Article{KIMELDORF1971,
  author   = {George Kimeldorf and Grace Wahba},
  title    = {Some results on Tchebycheffian spline functions},
  journal  = {Journal of Mathematical Analysis and Applications},
  year     = {1971},
  volume   = {33},
  number   = {1},
  pages    = {82 - 95},
  keywords = {ovks},
}

@Article{abadi2016tensorflow,
  author   = {Abadi, Mart{\'\i}n and Agarwal, Ashish and Barham, Paul and Brevdo, Eugene and Chen, Zhifeng and Citro, Craig and Corrado, Greg S and Davis, Andy and Dean, Jeffrey and Devin, Matthieu and others},
  title    = {Tensorflow: Large-scale machine learning on heterogeneous distributed systems},
  journal  = {arXiv preprint arXiv:1603.04467},
  year     = {2016},
  keywords = {ovks},
}

@Article{tieleman2012lecture,
  author   = {Tieleman, Tijmen and Hinton, G},
  title    = {Lecture 6.5-RMSProp, COURSERA: Neural networks for machine learning},
  journal  = {University of Toronto, Tech. Rep},
  year     = {2012},
  keywords = {ovks},
}

@Book{koenker2005quantile,
  title     = {Quantile regression},
  publisher = {Cambridge university press},
  year      = {2005},
  author    = {Koenker, Roger},
  number    = {38},
  keywords  = {ovks},
}

@Article{koenker1978regression,
  author    = {Koenker, Roger and Bassett Jr, Gilbert},
  title     = {Regression quantiles},
  journal   = {Econometrica: journal of the Econometric Society},
  year      = {1978},
  pages     = {33--50},
  keywords  = {ovks},
  publisher = {JSTOR},
}

@Article{brouard2016fast,
  author    = {Brouard, C{\'e}line and Shen, Huibin and D{\"u}hrkop, Kai and d'Alch{\'e}-Buc, Florence and B{\"o}cker, Sebastian and Rousu, Juho},
  title     = {Fast metabolite identification with input output Kernel regression},
  journal   = {Bioinformatics},
  year      = {2016},
  volume    = {32},
  number    = {12},
  pages     = {i28--i36},
  keywords  = {ovks},
  publisher = {Oxford Univ Press},
}

@InProceedings{amblard2015operator,
  author       = {Amblard, Pierre-Olivier and Kadri, Hachem},
  title        = {Operator-valued kernel recursive least squares algorithm},
  booktitle    = {Signal Processing Conference (EUSIPCO), 2015 23rd European},
  year         = {2015},
  pages        = {2376--2380},
  organization = {IEEE},
  keywords     = {ovks},
}

%%% H

@Article{ha2010image,
  author    = {Ha Quang, Minh and Kang, Sung Ha and Le, Triet M},
  title     = {Image and video colorization using vector-valued reproducing kernel Hilbert spaces},
  journal   = {Journal of Mathematical Imaging and Vision},
  year      = {2010},
  volume    = {37},
  number    = {1},
  pages     = {49--65},
  keywords  = {ovks},
  publisher = {Springer},
}

@InProceedings{micchelli2004kernels,
  author    = {Micchelli, Charles A and Pontil, Massimiliano},
  title     = {Kernels for Multi--task Learning.},
  booktitle = {NIPS},
  year      = {2004},
  volume    = {86},
  pages     = {89},
  keywords  = {ovks},
}

@Comment{jabref-meta: databaseType:bibtex;}