default search action
Javier González 0002
Person information
- affiliation: Microsoft Research Cambridge
- affiliation (former): Amazon
- affiliation (former): University of Sheffield, UK
- affiliation (former): Universidad Carlos III de Madrid, Spain
Other persons with the same name
- Javier González — disambiguation page
- Javier González 0001 (aka: Javier Gonzalez 0001, Javier González Jiménez 0001) — University of Málaga, Spain
- Javier González 0003 — Universidad Panamericana, Mexico
- Javier González 0004 — Universitat de Barcelona i Parc Científic de Barcelona, Spain
- Javier González 0005 — Center for Remote Sensing of Land Surfaces (ZFL), University of Bonn, Bonn, Germany
- Javier González 0006 — Samsung, Copenhagen, Denmark (and 1 more)
- Javier González 0007 — University of Burgos, Spain
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c25]Alicia Curth, Hoifung Poon, Aditya V. Nori, Javier González:
Cautionary Tales on Synthetic Controls in Survival Analyses. CLeaR 2024: 143-159 - 2023
- [i16]Javier González, Aditya V. Nori:
Beyond Words: A Mathematical Framework for Interpreting Large Language Models. CoRR abs/2311.03033 (2023) - 2022
- [c24]Siu Lun Chau, Javier González, Dino Sejdinovic:
Learning Inconsistent Preferences with Gaussian Processes. AISTATS 2022: 2266-2281 - [c23]Siu Lun Chau, Robert Hu, Javier González, Dino Sejdinovic:
RKHS-SHAP: Shapley Values for Kernel Methods. NeurIPS 2022 - 2021
- [c22]Eero Siivola, Akash Kumar Dhaka, Michael Riis Andersen, Javier González, Pablo Garcia Moreno, Aki Vehtari:
Preferential Batch Bayesian Optimization. MLSP 2021: 1-6 - [c21]Siu Lun Chau, Jean-Francois Ton, Javier González, Yee Whye Teh, Dino Sejdinovic:
BayesIMP: Uncertainty Quantification for Causal Data Fusion. NeurIPS 2021: 3466-3477 - [c20]Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas:
Dynamic Causal Bayesian Optimization. NeurIPS 2021: 10549-10560 - [i15]Siu Lun Chau, Jean-François Ton, Javier González, Yee Whye Teh, Dino Sejdinovic:
BayesIMP: Uncertainty Quantification for Causal Data Fusion. CoRR abs/2106.03477 (2021) - [i14]Siu Lun Chau, Javier González, Dino Sejdinovic:
RKHS-SHAP: Shapley Values for Kernel Methods. CoRR abs/2110.09167 (2021) - [i13]Andrei Paleyes, Mark Pullin, Maren Mahsereci, Cliff McCollum, Neil D. Lawrence, Javier González:
Emulation of physical processes with Emukit. CoRR abs/2110.13293 (2021) - [i12]Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas:
Dynamic Causal Bayesian Optimization. CoRR abs/2110.13891 (2021) - 2020
- [j7]Brendan Avent, Javier González, Tom Diethe, Andrei Paleyes, Borja Balle:
Automatic Discovery of Privacy-Utility Pareto Fronts. Proc. Priv. Enhancing Technol. 2020(4): 5-23 (2020) - [c19]Virginia Aglietti, Xiaoyu Lu, Andrei Paleyes, Javier González:
Causal Bayesian Optimization. AISTATS 2020: 3155-3164 - [c18]Henry B. Moss, Vatsal Aggarwal, Nishant Prateek, Javier González, Roberto Barra-Chicote:
BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization. ICASSP 2020: 7639-7643 - [c17]Virginia Aglietti, Theodoros Damoulas, Mauricio A. Álvarez, Javier González:
Multi-task Causal Learning with Gaussian Processes. NeurIPS 2020 - [i11]David Janz, David R. Burt, Javier González:
Bandit optimisation of functions in the Matérn kernel RKHS. CoRR abs/2001.10396 (2020) - [i10]Henry B. Moss, Vatsal Aggarwal, Nishant Prateek, Javier González, Roberto Barra-Chicote:
BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization. CoRR abs/2002.01953 (2020) - [i9]Eero Siivola, Akash Kumar Dhaka, Michael Riis Andersen, Javier González, Pablo Garcia Moreno, Aki Vehtari:
Preferential Batch Bayesian Optimization. CoRR abs/2003.11435 (2020) - [i8]Virginia Aglietti, Xiaoyu Lu, Andrei Paleyes, Javier González:
Causal Bayesian Optimization. CoRR abs/2005.11741 (2020) - [i7]Siu Lun Chau, Javier González, Dino Sejdinovic:
Learning Inconsistent Preferences with Kernel Methods. CoRR abs/2006.03847 (2020) - [i6]Purva Pruthi, Javier González, Xiaoyu Lu, Madalina Fiterau:
Structure Mapping for Transferability of Causal Models. CoRR abs/2007.09445 (2020) - [i5]Virginia Aglietti, Theodoros Damoulas, Mauricio A. Álvarez, Javier González:
Multi-task Causal Learning with Gaussian Processes. CoRR abs/2009.12821 (2020) - [i4]Eero Siivola, Javier González, Andrei Paleyes, Aki Vehtari:
Good practices for Bayesian Optimization of high dimensional structured spaces. CoRR abs/2012.15471 (2020)
2010 – 2019
- 2019
- [c16]Aaron Klein, Zhenwen Dai, Frank Hutter, Neil D. Lawrence, Javier González:
Meta-Surrogate Benchmarking for Hyperparameter Optimization. NeurIPS 2019: 6267-6277 - [i3]Kurt Cutajar, Mark Pullin, Andreas C. Damianou, Neil D. Lawrence, Javier González:
Deep Gaussian Processes for Multi-fidelity Modeling. CoRR abs/1903.07320 (2019) - [i2]Brendan Avent, Javier González, Tom Diethe, Andrei Paleyes, Borja Balle:
Automatic Discovery of Privacy-Utility Pareto Fronts. CoRR abs/1905.10862 (2019) - [i1]Aaron Klein, Zhenwen Dai, Frank Hutter, Neil D. Lawrence, Javier González:
Meta-Surrogate Benchmarking for Hyperparameter Optimization. CoRR abs/1905.12982 (2019) - 2018
- [c15]Xiaoyu Lu, Javier González, Zhenwen Dai, Neil D. Lawrence:
Structured Variationally Auto-encoded Optimization. ICML 2018: 3273-3281 - [c14]Eero Siivola, Aki Vehtari, Jarno Vanhatalo, Javier González, Michael Riis Andersen:
Correcting boundary over-Exploration Deficiencies in Bayesian Optimization with Virtual derivative Sign observations. MLSP 2018: 1-6 - 2017
- [c13]Javier González, Zhenwen Dai, Andreas C. Damianou, Neil D. Lawrence:
Preferential Bayesian Optimization. ICML 2017: 1282-1291 - [c12]Rodolphe Jenatton, Cédric Archambeau, Javier González, Matthias W. Seeger:
Bayesian Optimization with Tree-structured Dependencies. ICML 2017: 1655-1664 - 2016
- [j6]Javier González, Alberto Muñoz, Gabriel Martos:
Asymmetric latent semantic indexing for gene expression experiments visualization. J. Bioinform. Comput. Biol. 14(4): 1650023:1-1650023:18 (2016) - [c11]Javier González, Zhenwen Dai, Philipp Hennig, Neil D. Lawrence:
Batch Bayesian Optimization via Local Penalization. AISTATS 2016: 648-657 - [c10]Javier González, Michael A. Osborne, Neil D. Lawrence:
GLASSES: Relieving The Myopia Of Bayesian Optimisation. AISTATS 2016: 790-799 - [c9]Zhenwen Dai, Andreas C. Damianou, Javier González, Neil D. Lawrence:
Variational Auto-encoded Deep Gaussian Processes. ICLR (Poster) 2016 - 2015
- [j5]Ivan Vujacic, Itai Dattner, Javier González, Ernst Wit:
Time-course window estimator for ordinary differential equations linear in the parameters. Stat. Comput. 25(6): 1057-1070 (2015) - 2014
- [j4]Gabriel Martos, Alberto Muñoz, Javier González:
Generalizing the Mahalanobis distance via density kernels. Intell. Data Anal. 18(Supplement): S19-S31 (2014) - [j3]Javier González, Ivan Vujacic, Ernst Wit:
Reproducing kernel Hilbert space based estimation of systems of ordinary differential equations. Pattern Recognit. Lett. 45: 26-32 (2014) - 2013
- [j2]Javier González, Alberto Muñoz:
Functional analysis techniques to improve similarity matrices in discrimination problems. J. Multivar. Anal. 120: 120-134 (2013) - [c8]Gabriel Martos, Alberto Muñoz, Javier González:
On the Generalization of the Mahalanobis Distance. CIARP (1) 2013: 125-132 - [c7]Alberto Muñoz, Gabriel Martos, Javier González:
A New Distance for Data Sets in a Reproducing Kernel Hilbert Space Context. CIARP (1) 2013: 222-229 - 2010
- [j1]Alberto Muñoz, Javier González:
Representing functional data using support vector machines. Pattern Recognit. Lett. 31(6): 511-516 (2010)
2000 – 2009
- 2009
- [c6]Alberto Muñoz, Javier González:
Combining Functional Data Projections for Time Series Classification. CIARP 2009: 457-464 - 2008
- [c5]Alberto Muñoz, Javier González:
Functional Learning of Kernels for Information Fusion Purposes. CIARP 2008: 277-283 - [c4]Javier González, Alberto Muñoz:
Representing Functional Data Using Support Vector Machines. CIARP 2008: 332-339 - 2007
- [c3]Alberto Muñoz, Javier González:
Joint Diagonalization of Kernels for Information Fusion. CIARP 2007: 556-563 - [c2]Javier González, Alberto Muñoz:
Spectral Measures for Kernel Matrices Comparison. ICANN (1) 2007: 727-736 - 2006
- [c1]Alberto Muñoz, Javier González, Isaac Martín de Diego:
Local Linear Approximation for Kernel Methods: The Railway Kernel. CIARP 2006: 936-944
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:20 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint