Miguel Lázaro-Gredilla
Miguel Lázaro-Gredilla
Senior researcher, 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
3572010
Sparse spectrum Gaussian process regression
M Lázaro-Gredilla, J Quińonero-Candela, CE Rasmussen, ...
Journal of Machine Learning Research 11 (Jun), 1865-1881, 2010
3572010
Doubly stochastic variational Bayes for non-conjugate inference
M Titsias, M Lázaro-Gredilla
International conference on machine learning, 1971-1979, 2014
2952014
Variational heteroscedastic Gaussian process regression
M Lázaro-Gredilla, MK Titsias
ICML, 2011
2062011
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
1642017
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
1622012
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
1572011
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, ...
arXiv preprint arXiv:1706.04317, 2017
1482017
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
1192013
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
792012
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
742013
Inter-domain Gaussian processes for sparse inference using inducing features
M Lázaro-Gredilla, A Figueiras-Vidal
Advances in Neural Information Processing Systems, 1087-1095, 2009
702009
Bayesian warped Gaussian processes
M Lázaro-Gredilla
Advances in Neural Information Processing Systems, 1619-1627, 2012
652012
Local expectation gradients for black box variational inference
TRC AUEB, M Lázaro-Gredilla
Advances in neural information processing systems 28, 2638-2646, 2015
602015
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
442010
Adaptive one-class support vector machine
V Gómez-Verdejo, J Arenas-García, M Lázaro-Gredilla, Á Navia-Vázquez
IEEE Transactions on Signal Processing 59 (6), 2975-2981, 2011
382011
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
332012
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
312019
Variational inference for Mahalanobis distance metrics in Gaussian process regression
TRC AUEB, M Lázaro-Gredilla
Advances in Neural Information Processing Systems 26, 279-287, 2013
242013
A Bayesian approach to tracking with kernel recursive least-squares
M Lázaro-Gredilla, S Van Vaerenbergh, I Santamaría
2011 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2011
222011
The system can't perform the operation now. Try again later.
Articles 1–20