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Miguel Lázaro-Gredilla
Miguel Lázaro-Gredilla
VP of research, Vicarious AI
Verified email at vicarious.com - Homepage
Title
Cited by
Cited by
Year
Sparse spectrum Gaussian process regression
M Lázaro-Gredilla, J Quińonero-Candela, CE Rasmussen, ...
Journal of Machine Learning Research 11 (Jun), 1865-1881, 2010
4852010
Sparse spectrum Gaussian process regression
M Lázaro-Gredilla, J Quińonero-Candela, CE Rasmussen, ...
Journal of Machine Learning Research 11 (Jun), 1865-1881, 2010
4852010
Doubly stochastic variational Bayes for non-conjugate inference
M Titsias, M Lázaro-Gredilla
International conference on machine learning, 1971-1979, 2014
3782014
Variational Heteroscedastic Gaussian Process Regression.
M Lázaro-Gredilla, MK Titsias
ICML, 841-848, 2011
2882011
A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs
D George, W Lehrach, K Kansky, M Lázaro-Gredilla, C Laan, B Marthi, ...
Science 358 (6368), eaag2612, 2017
2482017
Schema networks: Zero-shot transfer with a generative causal model of intuitive physics
K Kansky, T Silver, DA Mély, M Eldawy, M Lázaro-Gredilla, X Lou, ...
International conference on machine learning, 1809-1818, 2017
2322017
Spike and slab variational inference for multi-task and multiple kernel learning
M Titsias, M Lázaro-Gredilla
Advances in neural information processing systems 24, 2011
2142011
Kernel recursive least-squares tracker for time-varying regression
S Van Vaerenbergh, M Lázaro-Gredilla, I Santamaría
IEEE transactions on neural networks and learning systems 23 (8), 1313-1326, 2012
1922012
Gaussian processes for nonlinear signal processing: An overview of recent advances
F Pérez-Cruz, S Van Vaerenbergh, JJ Murillo-Fuentes, M Lázaro-Gredilla, ...
IEEE Signal Processing Magazine 30 (4), 40-50, 2013
1582013
Retrieval of biophysical parameters with heteroscedastic Gaussian processes
M Lázaro-Gredilla, MK Titsias, J Verrelst, G Camps-Valls
IEEE Geoscience and Remote Sensing Letters 11 (4), 838-842, 2013
1092013
Inter-domain Gaussian processes for sparse inference using inducing features
M Lázaro-Gredilla, A Figueiras-Vidal
Advances in Neural Information Processing Systems 22, 2009
1072009
Overlapping mixtures of Gaussian processes for the data association problem
M Lázaro-Gredilla, S Van Vaerenbergh, ND Lawrence
Pattern recognition 45 (4), 1386-1395, 2012
1032012
Bayesian warped Gaussian processes
M Lázaro-Gredilla
Advances in Neural Information Processing Systems 25, 2012
852012
Local expectation gradients for black box variational inference
TRC AUEB, M Lázaro-Gredilla
Advances in neural information processing systems 28, 2015
792015
Beyond imitation: Zero-shot task transfer on robots by learning concepts as cognitive programs
M Lázaro-Gredilla, D Lin, JS Guntupalli, D George
Science Robotics 4 (26), eaav3150, 2019
722019
Adaptively biasing the weights of adaptive filters
M Lázaro-Gredilla, LA Azpicueta-Ruiz, AR Figueiras-Vidal, ...
IEEE Transactions on Signal Processing 58 (7), 3890-3895, 2010
502010
Adaptive one-class support vector machine
V Gómez-Verdejo, J Arenas-García, M Lazaro-Gredilla, Á Navia-Vazquez
IEEE Transactions on Signal Processing 59 (6), 2975-2981, 2011
452011
Estimation of the forgetting factor in kernel recursive least squares
S Van Vaerenbergh, I Santamaría, M Lázaro-Gredilla
2012 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2012
402012
Marginalized neural network mixtures for large-scale regression
M Lázaro-Gredilla, AR Figueiras-Vidal
IEEE transactions on neural networks 21 (8), 1345-1351, 2010
342010
Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps
D George, RV Rikhye, N Gothoskar, JS Guntupalli, A Dedieu, ...
Nature communications 12 (1), 2392, 2021
282021
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Articles 1–20