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ORCIDJoaquin Quiñonero Candela
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- affiliation: Facebook
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2020 – today
- 2023
[c14]Joaquin Quiñonero Candela
, Yuwen Wu, Brian Hsu, Sakshi Jain, Jennifer Ramos, Jon Adams, Robert Hallman, Kinjal Basu:
Disentangling and Operationalizing AI Fairness at LinkedIn. FAccT 2023: 1213-1228- [i3]Joaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jen Ramos, Jon Adams, Robert Hallman, Kinjal Basu:
Disentangling and Operationalizing AI Fairness at LinkedIn. CoRR abs/2306.00025 (2023) - 2021
- [i2]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:
Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems. CoRR abs/2103.06172 (2021)
2010 – 2019
- 2014
- [c13]Xinran He, Junfeng Pan, Ou Jin, Tianbing Xu, Bo Liu, Tao Xu, Yanxin Shi, Antoine Atallah, Ralf Herbrich, Stuart Bowers, Joaquin Quiñonero Candela:
Practical Lessons from Predicting Clicks on Ads at Facebook. ADKDD@KDD 2014: 5:1-5:9 - 2013
- [j3]Léon Bottou, Jonas Peters, Joaquin Quiñonero Candela, Denis Xavier Charles, Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Y. Simard, Ed Snelson:
Counterfactual reasoning and learning systems: the example of computational advertising. J. Mach. Learn. Res. 14(1): 3207-3260 (2013) - 2012
- [i1]Léon Bottou, Jonas Peters, Joaquin Quiñonero Candela, Denis Xavier Charles, Max Chickering, Elon Portugaly, Dipankar Ray, Patrice Y. Simard, Ed Snelson:
Counterfactual Reasoning and Learning Systems. CoRR abs/1209.2355 (2012) - 2010
- [j2]Miguel Lázaro-Gredilla, Joaquin Quiñonero Candela, Carl Edward Rasmussen, Aníbal R. Figueiras-Vidal:
Sparse Spectrum Gaussian Process Regression. J. Mach. Learn. Res. 11: 1865-1881 (2010) - [c12]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
2000 – 2009
- 2009
- [c11]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 - 2007
- [e2]Neil D. Lawrence, Anton Schwaighofer, Joaquin Quiñonero Candela:
Gaussian Processes in Practice, Bletchley Park, Bletchley, UK, June 12-13, 2006. JMLR Proceedings 1, JMLR.org 2007 [contents] - 2006
- [c10]Neil D. Lawrence, Joaquin Quiñonero Candela:
Local distance preservation in the GP-LVM through back constraints. ICML 2006: 513-520 - [e1]Joaquin Quiñonero Candela, Ido Dagan, Bernardo Magnini, Florence d'Alché-Buc:
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 [contents] - 2005
- [j1]Joaquin Quiñonero Candela, Carl Edward Rasmussen:
A Unifying View of Sparse Approximate Gaussian Process Regression. J. Mach. Learn. Res. 6: 1939-1959 (2005) - [c9]Carl Edward Rasmussen, Joaquin Quiñonero Candela:
Healing the relevance vector machine through augmentation. ICML 2005: 689-696 - [c8]Alexander Zien, Joaquin Quiñonero Candela:
Large margin non-linear embedding. ICML 2005: 1060-1067 - [c7]Joaquin Quiñonero Candela, Carl Edward Rasmussen, Fabian H. Sinz, Olivier Bousquet, Bernhard Schölkopf:
Evaluating Predictive Uncertainty Challenge. MLCW 2005: 1-27 - 2004
- [c6]Fabian H. Sinz, Joaquin Quiñonero Candela, Gökhan H. Bakir, Carl Edward Rasmussen, Matthias O. Franz:
Learning Depth from Stereo. DAGM-Symposium 2004: 245-252 - 2003
- [c5]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 - [c4]Joaquin Quiñonero Candela, Agathe Girard, Jan Larsen, Carl Edward Rasmussen:
Propagation of uncertainty in Bayesian kernel models - application to multiple-step ahead forecasting. ICASSP (2) 2003: 701-704 - 2002
- [c3]Joaquin Quiñonero Candela, Lars Kai Hansen:
Time series prediction based on the Relevance Vector Machine with adaptive kernels. ICASSP 2002: 985-988 - [c2]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 - [c1]Joaquin Quiñonero Candela, Ole Winther:
Incremental Gaussian Processes. NIPS 2002: 1001-1008
Coauthor Index
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