Joaquin Quiñonero Candela

According to our database, Joaquin Quiñonero Candela authored at least 19 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Disentangling and Operationalizing AI Fairness at LinkedIn.

Joaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jennifer Ramos, Jon Adams, Robert Hallman, Kinjal Basu

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2021

Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems.

Chloé Bakalar, Renata Barreto, Stevie Bergman, Miranda Bogen, Bobbie Chern, Sam Corbett-Davies, Melissa Hall, Isabel Kloumann, Michelle Lam, Joaquin Quiñonero Candela, Manish Raghavan, Joshua Simons, Jonathan Tannen, Edmund Tong, Kate Vredenburgh, Jiejing Zhao

CoRR, 2021

2014

Practical Lessons from Predicting Clicks on Ads at Facebook.

Xinran He, Junfeng Pan, Ou Jin, Tianbing Xu, Bo Liu, Tao Xu, Yanxin Shi, Antoine Atallah, Ralf Herbrich, Stuart Bowers, Joaquin Quiñonero Candela

Proceedings of the Eighth International Workshop on Data Mining for Online Advertising, 2014

2013

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

Léon Bottou, Jonas Peters, Joaquin Quiñonero Candela, Denis Xavier Charles, Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Y. Simard, Ed Snelson

J. Mach. Learn. Res., 2013

2012

Counterfactual Reasoning and Learning Systems

Léon Bottou, Jonas Peters, Joaquin Quiñonero Candela, Denis Xavier Charles, Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Y. Simard, Ed Snelson

CoRR, 2012

2010

Sparse Spectrum Gaussian Process Regression.

Miguel Lázaro-Gredilla, Joaquin Quiñonero Candela, Carl Edward Rasmussen, Aníbal R. Figueiras-Vidal

J. Mach. Learn. Res., 2010

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

Thore Graepel, Joaquin Quiñonero Candela, Thomas Borchert, Ralf Herbrich

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

Scalable clustering and keyword suggestion for online advertisements.

Anton Schwaighofer, Joaquin Quiñonero Candela, Thomas Borchert, Thore Graepel, Ralf Herbrich

Proceedings of the 3rd ACM SIGKDD Workshop on Data Mining and Audience Intelligence for Advertising, 2009

2006

Local distance preservation in the GP-LVM through back constraints.

Neil D. Lawrence, Joaquin Quiñonero Candela

Proceedings of the Machine Learning, 2006

2005

A Unifying View of Sparse Approximate Gaussian Process Regression.

Joaquin Quiñonero Candela, Carl Edward Rasmussen

J. Mach. Learn. Res., 2005

Evaluating Predictive Uncertainty Challenge.

Joaquin Quiñonero Candela, Carl Edward Rasmussen, Fabian H. Sinz, Olivier Bousquet, Bernhard Schölkopf

Proceedings of the Machine Learning Challenges, 2005

Large margin non-linear embedding.

Alexander Zien, Joaquin Quiñonero Candela

Proceedings of the Machine Learning, 2005

Healing the relevance vector machine through augmentation.

Carl Edward Rasmussen, Joaquin Quiñonero Candela

Proceedings of the Machine Learning, 2005

2004

Learning Depth from Stereo.

Fabian H. Sinz, Joaquin Quiñonero Candela, Gökhan H. Bakir, Carl Edward Rasmussen, Matthias O. Franz

Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

2003

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

Joaquin Quiñonero Candela, Agathe Girard, Jan Larsen, Carl Edward Rasmussen

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Analysis of Some Methods for Reduced Rank Gaussian Process Regression.

Joaquin Quiñonero Candela, Carl Edward Rasmussen

Proceedings of the Switching and Learning in Feedback Systems, 2003

2002

Gaussian Process Priors with Uncertain Inputs - Application to Multiple-Step Ahead Time Series Forecasting.

Agathe Girard, Carl Edward Rasmussen, Joaquin Quiñonero Candela, Roderick Murray-Smith

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Incremental Gaussian Processes.

Joaquin Quiñonero Candela, Ole Winther

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

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

Joaquin Quiñonero Candela, Lars Kai Hansen

Proceedings of the IEEE International Conference on Acoustics, 2002