Miguel Lázaro-Gredilla
Miguel Lázaro-Gredilla
Director of research, Vicarious AI
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Sparse spectrum Gaussian process regression
M Lázaro-Gredilla, J Quiñonero-Candela, CE Rasmussen, ...
Journal of Machine Learning Research 11 (Jun), 1865-1881, 2010
4062010
Sparse spectrum Gaussian process regression
M Lázaro-Gredilla, J Quiñonero-Candela, CE Rasmussen, ...
Journal of Machine Learning Research 11 (Jun), 1865-1881, 2010
4062010
Doubly stochastic variational Bayes for non-conjugate inference
M Titsias, M Lázaro-Gredilla
International conference on machine learning, 1971-1979, 2014
3272014
Variational heteroscedastic Gaussian process regression
M Lázaro-Gredilla, MK Titsias
ICML, 2011
2322011
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), 2017
2112017
Spike and slab variational inference for multi-task and multiple kernel learning
M Titsias, M Lázaro-Gredilla
Advances in neural information processing systems 24, 2339-2347, 2011
1902011
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
1832017
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
1732012
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
1372013
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
912013
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
902012
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features.
M Lázaro-Gredilla, AR Figueiras-Vidal
NIPS 22, 1087-1095, 2009
852009
Bayesian warped Gaussian processes
M Lázaro-Gredilla
Advances in Neural Information Processing Systems 25, 1619-1627, 2012
712012
Local expectation gradients for black box variational inference
TRC AUEB, M Lázaro-Gredilla
Advances in neural information processing systems 28, 2638-2646, 2015
662015
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), 2019
472019
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
452010
Adaptive one-class support vector machine
V Gómez-Verdejo, J Arenas-García, M Lazaro-Gredilla, Á Navia-Vázquez
IEEE Transactions on Signal Processing 59 (6), 2975-2981, 2011
392011
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
382012
Variational inference for Mahalanobis distance metrics in Gaussian process regression
M Titsias, M Lázaro-Gredilla
Advances in Neural Information Processing Systems, 279-287, 2013
282013
Marginalized neural network mixtures for large-scale regression
M Lázaro-Gredilla, AR Figueiras-Vidal
IEEE transactions on neural networks 21 (8), 1345-1351, 2010
282010
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