Javier González
Javier González
Microsoft Research Cambridge
Dirección de correo verificada de microsoft.com - Página principal
Citado por
Citado por
Batch Bayesian optimization via local penalization
J González, Z Dai, P Hennig, N Lawrence
Artificial intelligence and statistics, 648-657, 2016
Variational auto-encoded deep Gaussian processes
Z Dai, A Damianou, J González, N Lawrence
ICLR 2016, 2015
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
GLASSES: Relieving the myopia of Bayesian optimisation
J González, M Osborne, N Lawrence
Artificial Intelligence and Statistics, 790-799, 2016
Bayesian optimization for synthetic gene design
J González, J Longwoth, DC James, ND Lawrence
NIPS Workshop in Bayesian Optimization, 2014
GPy: A gaussian process framework in python
Deep gaussian processes for multi-fidelity modeling
K Cutajar, M Pullin, A Damianou, N Lawrence, J González
arXiv preprint arXiv:1903.07320, 2019
Preferential Bayesian Optimization
J Gonzalez, Z Dai, A Damianou, ND Lawrence
International Conference on Machine Learning, PMLR 70:1282-1291, 2017, 2017
Representing functional data using support vector machines
A Muñoz, J González
Pattern Recognition Letters 31 (6), 511-516, 2010
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
Bayesian optimization with tree-structured dependencies
R Jenatton, C Archambeau, J González, M Seeger
International Conference on Machine Learning, ICML 2017., 1655-1664, 2017
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
A robust partial least squares regression method with applications
J González, D Peña, R Romera
Journal of Chemometrics 23 (2), 78-90, 2009
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
GPyOpt: A Bayesian optimization framework in Python
ZD Javier Gonzalez
https://github.com/SheffieldML/GPyOpt, 2016
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
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
Structured variationally auto-encoded optimization
X Lu, J Gonzalez, Z Dai, N Lawrence
International Conference on Machine Learning, ICML 2020., 3267-3275, 2018
Inferring latent gene regulatory network kinetics
J González, I Vujačić, E Wit
Statistical applications in genetics and molecular biology 12 (1), 109-127, 2013
Time-course window estimator for ordinary differential equations linear in the parameters
I Vujačić, I Dattner, J González, E Wit
Statistics and Computing, 1-14, 2014
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Artículos 1–20