Joaquin Quiñonero Candela

Léon Bottou, Jonas Peters, Joaquin Quiñonero Candela, Denis Xavier Charles, Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Simard, Ed Snelson: Counterfactual Reasoning and Learning Systems. CoRR abs/1209.2355 (2012)

Miguel Lázaro-Gredilla, Joaquin Quiñonero Candela, Carl Edward Rasmussen, Aníbal R. Figueiras-Vidal: Sparse Spectrum Gaussian Process Regression. Journal of Machine Learning Research 11: 1865-1881 (2010)

Thore Graepel, Joaquin Quiñonero Candela, Thomas Borchert, Ralf Herbrich: Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine. ICML 2010: 13-20

Anton Schwaighofer, Joaquin Quiñonero Candela, Thomas Borchert, Thore Graepel, Ralf Herbrich: Scalable clustering and keyword suggestion for online advertisements. KDD Workshop on Data Mining and Audience Intelligence for Advertising 2009: 27-36

Neil D. Lawrence, Joaquin Quiñonero Candela: Local distance preservation in the GP-LVM through back constraints. ICML 2006: 513-520

Joaquin Quiñonero Candela, Ido Dagan, Bernardo Magnini, Florence d'Alché-Buc (Eds.): Machine Learning Challenges, Evaluating Predictive Uncertainty, Visual Object Classification and Recognizing Textual Entailment, First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers. Lecture Notes in Computer Science 3944, Springer 2006, isbn 3-540-33427-0

Joaquin Quiñonero Candela, Carl Edward Rasmussen: A Unifying View of Sparse Approximate Gaussian Process Regression. Journal of Machine Learning Research 6: 1939-1959 (2005)

Carl Edward Rasmussen, Joaquin Quiñonero Candela: Healing the relevance vector machine through augmentation. ICML 2005: 689-696

Alexander Zien, Joaquin Quiñonero Candela: Large margin non-linear embedding. ICML 2005: 1060-1067

Joaquin Quiñonero Candela, Carl Edward Rasmussen, Fabian H. Sinz, Olivier Bousquet, Bernhard Schölkopf: Evaluating Predictive Uncertainty Challenge. MLCW 2005: 1-27

Fabian H. Sinz, Joaquin Quiñonero Candela, Gökhan H. Bakir, Carl Edward Rasmussen, Matthias O. Franz: Learning Depth from Stereo. DAGM-Symposium 2004: 245-252

Joaquin Quiñonero Candela, Carl Edward Rasmussen: Analysis of Some Methods for Reduced Rank Gaussian Process Regression. European Summer School on Multi-AgentControl 2003: 98-127

Joaquin Quiñonero Candela, Lars Kai Hansen: Time series prediction based on the Relevance Vector Machine with adaptive kernels. ICASSP 2002: 985-988

Agathe Girard, Carl Edward Rasmussen, Joaquin Quiñonero Candela, Roderick Murray-Smith: Gaussian Process Priors with Uncertain Inputs - Application to Multiple-Step Ahead Time Series Forecasting. NIPS 2002: 529-536

Joaquin Quiñonero Candela, Ole Winther: Incremental Gaussian Processes. NIPS 2002: 1001-1008