Joaquin Quiñonero Candela

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Carl Edward RasmussenProfessor of Machine Learning, University of CambridgeDirección de correo verificada de cam.ac.uk
Neil D. LawrenceUniversity of CambridgeDirección de correo verificada de cl.cam.ac.uk
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoDirección de correo verificada de k.u-tokyo.ac.jp
Ralf HerbrichHasso Plattner InstituteDirección de correo verificada de hpi.de
Thore GraepelGlobal Lead Computational Science, AI & ML at Altos Labs and Chair of Machine Learning, UCLDirección de correo verificada de ucl.ac.uk
Roderick Murray-SmithProfessor of Computing Science, University of Glasgow, School of Computing ScienceDirección de correo verificada de glasgow.ac.uk
Leon BottouFacebook AI ResearchDirección de correo verificada de bottou.org
Jonas PetersProfessor of Statistics, University of CopenhagenDirección de correo verificada de math.ku.dk
Denis CharlesMicrosoft ResearchDirección de correo verificada de microsoft.com
Miguel Lázaro-GredillaVP of research, Vicarious AIDirección de correo verificada de vicarious.com
Fabian SinzProfessor for Machine Learning, University GöttingenDirección de correo verificada de cs.uni-goettingen.de
Jan LarsenTechnical University of Denmark, DTU ComputeDirección de correo verificada de dtu.dk
Patrice SimardMicrosoft ResearchDirección de correo verificada de microsoft.com
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedDirección de correo verificada de tuebingen.mpg.de
Chris WilliamsProfessor of Machine Learning, University of EdinburghDirección de correo verificada de inf.ed.ac.uk
Lars Kai HansenProfessor, Cognitive Systems, DTU Compute, Technical University of DenmarkDirección de correo verificada de dtu.dk
Ido DaganProfessor, Computer Science Department, Bar-Ilan UniversityDirección de correo verificada de cs.biu.ac.il
Bernardo MagniniResearcher, Fondazone Bruno Kessler - FBK, Trento, ItalyDirección de correo verificada de fbk.eu
Ole WintherBiology, Univ of Copenhagen, Genomic Medicine, Rigshospitalet and Technical University of DenmarkDirección de correo verificada de bio.ku.dk
Oliver WilliamsLaceworkDirección de correo verificada de olliewilliams.org

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Joaquin Quiñonero Candela

Senior Fellow, Harvard Belfer Center

Dirección de correo verificada de hks.harvard.edu - Página principal

Responsible AI Diversity & Inclusion Machine Learning Bayesian Inference


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
A unifying view of sparse approximate Gaussian process regression J Quinonero-Candela, CE Rasmussen The Journal of Machine Learning Research 6, 1939-1959, 2005	1913	2005
Dataset shift in machine learning J Quiñonero-Candela, M Sugiyama, A Schwaighofer, ND Lawrence The MIT Press, 2009	1297	2009
Practical lessons from predicting clicks on ads at facebook X He, J Pan, O Jin, T Xu, B Liu, T Xu, Y Shi, A Atallah, R Herbrich, ... Proceedings of the eighth international workshop on data mining for online …, 2014	730	2014
Web-scale Bayesian click-through rate prediction for sponsored search advertising in Microsoft’s Bing search engine T Graepel, J Quiñonero-Candela, T Borchert, R Herbrich Proc. 27th Internat. Conf. on Machine Learning. Morgan Kaufmann, San …, 2010	627	2010
Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising. L Bottou, J Peters, J Quiñonero-Candela, DX Charles, DM Chickering, ... Journal of Machine Learning Research 14 (11), 2013	550	2013
Gaussian Process priors with uncertain inputs -- Application to multiple-step ahead time series forecasting A Girard, CE Rasmussen, J Quiñonero-Candela, R Murray-Smith MIT Press, 2003	543*	2003
Sparse spectrum Gaussian process regression M Lázaro-Gredilla, J Quiñonero-Candela, CE Rasmussen, ... Journal of Machine Learning Research 11 (Jun), 1865-1881, 2010	434	2010
When training and test sets are different: characterizing learning transfer A Storkey Dataset shift in machine learning 30, 3-28, 2009	285	2009
Local distance preservation in the GP-LVM through back constraints ND Lawrence, J Quinonero-Candela Proceedings of the 23rd international conference on Machine learning, 513-520, 2006	278	2006
Approximation methods for gaussian process regression J Quiñonero-Candela, CE Rasmussen, CKI Williams Large-scale kernel machines, 203-224, 2007	192	2007
Propagation of uncertainty in Bayesian kernel models-application to multiple-step ahead forecasting J Quiñonero-Candela, A Girard, J Larsen, CE Rasmussen Acoustics, Speech, and Signal Processing, 2003. Proceedings.(ICASSP'03 …, 2003	166*	2003
Dataset shift in machine learning J Quiñonero-Candela, M Sugiyama, A Schwaighofer, ND Lawrence The MIT Press, 2009	136*	2009
Evaluating predictive uncertainty challenge J Quiñonero-Candela, C Rasmussen, F Sinz, O Bousquet, B Schölkopf Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual …, 2006	105	2006
Healing the relevance vector machine through augmentation CE Rasmussen, J Quiñonero-Candela Proceedings of the 22nd international conference on Machine learning, 689-696, 2005	105	2005
Event Prediction R Herbrich, T Graepel, O Zoeter, JQ Candela, P Trelford US Patent App. 11/835,985, 2009	104	2009
Event prediction in dynamic environments T Graepel, JQ Candela, TI Borchert, R Herbrich US Patent 8,417,650, 2013	89	2013
Learning with uncertainty-Gaussian processes and relevance vector machines J Quiñonero-Candela	81*	2004
Learning depth from stereo F Sinz, J Quiñonero-Candela, G Bakır, C Rasmussen, M Franz Pattern Recognition, 245-252, 2004	62	2004
Prediction at an uncertain input for Gaussian processes and relevance vector machines-application to multiple-step ahead time-series forecasting J Quinonero-Candela, A Girard, CE Rasmussen Technical University of Denmark, DTU: Informatics and Mathematical Modelling, 2003	58	2003
Time series prediction based on the relevance vector machine with adaptive kernels J Quiñonero-Candela, LK Hansen Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International …, 2002	57	2002

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