Time series prediction based on the Relevance Vector Machine with adaptive kernels. - Joaquin Quiñonero Candela; Lars Kai Hansen (ICASSP, 2002)

Incremental Gaussian Processes. - Joaquin Quiñonero Candela; Ole Winther (NIPS, 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 (NIPS, 2002)

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

Propagation of uncertainty in Bayesian kernel models - application to multiple-step ahead forecasting. - Joaquin Quiñonero Candela; Agathe Girard; Jan Larsen; Carl Edward Rasmussen (ICASSP (2), 2003)

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

Healing the relevance vector machine through augmentation. - Carl Edward Rasmussen; Joaquin Quiñonero Candela (ICML, 2005)

Large margin non-linear embedding. - Alexander Zien; Joaquin Quiñonero Candela (ICML, 2005)

Evaluating Predictive Uncertainty Challenge. - Joaquin Quiñonero Candela; Carl Edward Rasmussen; Fabian H. Sinz; Olivier Bousquet; Bernhard Schölkopf (MLCW, 2005)

A Unifying View of Sparse Approximate Gaussian Process Regression. - Joaquin Quiñonero Candela; Carl Edward Rasmussen (J. Mach. Learn. Res., 2005)

Local distance preservation in the GP-LVM through back constraints. - Neil D. Lawrence; Joaquin Quiñonero Candela (ICML, 2006)

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

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 (ICML, 2010)

Sparse Spectrum Gaussian Process Regression. - Miguel Lázaro-Gredilla; Joaquin Quiñonero Candela; Carl Edward Rasmussen; Aníbal R. Figueiras-Vidal (J. Mach. Learn. Res., 2010)

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)

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)

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 (ADKDD@KDD, 2014)

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 S. Lam; Joaquin Quiñonero Candela; Manish Raghavan; Joshua Simons; et al. (CoRR, 2021)

Disentangling and Operationalizing AI Fairness at LinkedIn. - Joaquin Quiñonero Candela; Yuwen Wu; Brian Hsu; Sakshi Jain; Jennifer Ramos; Jon Adams; Robert Hallman; Kinjal Basu 001 (FAccT, 2023)

HealthBench: Evaluating Large Language Models Towards Improved Human Health. - Rahul K. Arora; Jason Wei; Rebecca Soskin Hicks; Preston Bowman; Joaquin Quiñonero Candela; Foivos Tsimpourlas; Michael Sharman; Meghan Shah; Andrea Vallone; Alex Beutel; Johannes Heidecke; Karan Singhal (CoRR, 2025)