Joaquin Quiñonero Candela

发表

Large margin non-linear embedding

Joaquin Quiñonero Candela, Alexander Zien, 2005, ICML '05.

Incremental Gaussian Processes

Joaquin Quiñonero Candela, Ole Winther, J. Q. Candela, 2002, NIPS.

A Unifying View of Sparse Approximate Gaussian Process Regression

Carl E. Rasmussen, Joaquin Quiñonero Candela, C. Rasmussen, 2005, J. Mach. Learn. Res..

Practical Lessons from Predicting Clicks on Ads at Facebook

Joaquin Quiñonero Candela, Bo Liu, Tao Xu, 2014, ADKDD'14.

Counterfactual reasoning and learning systems: the example of computational advertising pdf

Joaquin Quiñonero Candela, David Maxwell Chickering, Elon Portugaly, 2012, J. Mach. Learn. Res..

Scalable clustering and keyword suggestion for online advertisements

Joaquin Quiñonero Candela, Anton Schwaighofer, Thore Graepel, 2009, KDD Workshop on Data Mining and Audience Intelligence for Advertising.

Local distance preservation in the GP-LVM through back constraints

Joaquin Quiñonero Candela, Neil D. Lawrence, Neil D. Lawrence, 2006, ICML.

Counterfactual reasoning and learning systems: the example of computational advertising

Joaquin Quiñonero Candela, David Maxwell Chickering, Elon Portugaly, 2013, J. Mach. Learn. Res..

Analysis of Some Methods for Reduced Rank Gaussian Process Regression

Carl E. Rasmussen, Joaquin Quiñonero Candela, C. Rasmussen, 2003, European Summer School on Multi-AgentControl.

Sparse Spectrum Gaussian Process Regression

Carl E. Rasmussen, Joaquin Quiñonero Candela, Aníbal R. Figueiras-Vidal, 2010, J. Mach. Learn. Res..

Time series prediction based on the Relevance Vector Machine with adaptive kernels

Joaquin Quiñonero Candela, Lars Kai Hansen, L. K. Hansen, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Healing the relevance vector machine through augmentation

Carl E. Rasmussen, Joaquin Quiñonero Candela, C. Rasmussen, 2005, ICML.

Learning Depth from Stereo

Carl E. Rasmussen, Joaquin Quiñonero Candela, Matthias O. Franz, 2004, DAGM-Symposium.

Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine

Joaquin Quiñonero Candela, Thore Graepel, Ralf Herbrich, 2010, ICML.

Evaluating Predictive Uncertainty Challenge

Carl E. Rasmussen, Joaquin Quiñonero Candela, Bernhard Schölkopf, 2005, MLCW.

Propagation of uncertainty in Bayesian kernel models - application to multiple-step ahead forecasting

Agathe Girard, Carl E. Rasmussen, Joaquin Quiñonero Candela, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..