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Javier González
Javier González
Microsoft Research Cambridge
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Batch Bayesian optimization via local penalization
J González, Z Dai, P Hennig, N Lawrence
Artificial intelligence and statistics, 648-657, 2016
2692016
Variational auto-encoded deep Gaussian processes
Z Dai, A Damianou, J González, N Lawrence
ICLR 2016, 2015
1462015
Protein biogenesis machinery is a driver of replicative aging in yeast
GE Janssens, AC Meinema, J Gonzalez, JC Wolters, A Schmidt, V Guryev, ...
elife 4, e08527, 2015
1282015
GLASSES: Relieving the myopia of Bayesian optimisation
J González, M Osborne, N Lawrence
Artificial Intelligence and Statistics, 790-799, 2016
1002016
GPy: A gaussian process framework in python
GP GPy
77*2012
Bayesian optimization for synthetic gene design
J González, J Longwoth, DC James, ND Lawrence
NIPS Workshop in Bayesian Optimization, 2014
652014
Preferential Bayesian Optimization
J Gonzalez, Z Dai, A Damianou, ND Lawrence
International Conference on Machine Learning, PMLR 70:1282-1291, 2017, 2017
632017
Deep gaussian processes for multi-fidelity modeling
K Cutajar, M Pullin, A Damianou, N Lawrence, J González
arXiv preprint arXiv:1903.07320, 2019
622019
Emulation of physical processes with Emukit
A Paleyes, M Pullin, M Mahsereci, N Lawrence, J Gonzalez
NeurIPS Workshop on Machine Learning and the Physical Sciences, 2019
552019
Representing functional data using support vector machines
A Muñoz, J González
Pattern Recognition Letters 31 (6), 511-516, 2010
49*2010
Bayesian optimization with tree-structured dependencies
R Jenatton, C Archambeau, J González, M Seeger
International Conference on Machine Learning, ICML 2017., 1655-1664, 2017
472017
Construction and use of a microfluidic dissection platform for long-term imaging of cellular processes in budding yeast
DHEW Huberts, SS Lee, J González, GE Janssens, IA Vizcarra, ...
Nature protocols 8 (6), 1019-1027, 2013
472013
GPyOpt: A Bayesian optimization framework in Python
ZD Javier Gonzalez
https://github.com/SheffieldML/GPyOpt, 2016
46*2016
Calorie restriction does not elicit a robust extension of replicative lifespan in Saccharomyces cerevisiae
DHEW Huberts, J González, SS Lee, A Litsios, G Hubmann, EC Wit, ...
Proceedings of the National Academy of Sciences 111 (32), 11727-11731, 2014
442014
A robust partial least squares regression method with applications
J González, D Peña, R Romera
Journal of Chemometrics 23 (2), 78-90, 2009
402009
Reproducing kernel Hilbert space based estimation of systems of ordinary differential equations
J González, I Vujačić, E Wit
Pattern Recognition Letters 45, 26-32, 2014
332014
BOFFIN-TTS: Few-Shot Speaker Adaptation by Bayesian Optimization
HB Moss, V Aggarwal, N Prateek, J González, R Barra-Chicote
International Conference on Acoustics, Speech, and Signal Processing, ICASSP …, 2020
322020
Structured variationally auto-encoded optimization
X Lu, J Gonzalez, Z Dai, N Lawrence
International Conference on Machine Learning, ICML 2020., 3267-3275, 2018
322018
Meta-surrogate benchmarking for hyperparameter optimization
A Klein, Z Dai, F Hutter, N Lawrence, J Gonzalez
Advances in Neural Information Processing Systems, NeurIPS 2019., 6270-6280, 2019
312019
BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design
S Jiang, H Chai, J Gonzalez, R Garnett
International Conference on Machine Learning, ICML 2020, 2020
28*2020
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