| Sparse spectrum Gaussian process regression M Lázaro-Gredilla, J Quiñonero-Candela, CE Rasmussen, ... Journal of Machine Learning Research 11 (Jun), 1865-1881, 2010 | 580 | 2010 |
| Sparse spectrum Gaussian process regression M Lázaro-Gredilla, J Quiñonero-Candela, CE Rasmussen, ... Journal of Machine Learning Research 11 (Jun), 1865-1881, 2010 | 580 | 2010 |
| Doubly stochastic variational Bayes for non-conjugate inference M Titsias, M Lázaro-Gredilla International conference on machine learning, 1971-1979, 2014 | 433 | 2014 |
| Variational Heteroscedastic Gaussian Process Regression. M Lázaro-Gredilla, MK Titsias ICML, 841-848, 2011 | 328 | 2011 |
| 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 | 308 | 2017 |
| 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 | 276 | 2017 |
| 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 | 238 | 2011 |
| 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 | 213 | 2012 |
| 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 | 185 | 2013 |
| Inter-domain Gaussian processes for sparse inference using inducing features M Lázaro-Gredilla, A Figueiras-Vidal Advances in Neural Information Processing Systems 22, 2009 | 128 | 2009 |
| 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 | 126 | 2013 |
| 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 | 123 | 2012 |
| Bayesian warped Gaussian processes M Lázaro-Gredilla Advances in Neural Information Processing Systems 25, 2012 | 97 | 2012 |
| 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 | 94 | 2019 |
| Local expectation gradients for black box variational inference TRC AUEB, M Lázaro-Gredilla Advances in neural information processing systems 28, 2015 | 94 | 2015 |
| 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 | 76 | 2021 |
| 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 | 55 | 2010 |
| 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 | 50 | 2011 |
| Marginalized neural network mixtures for large-scale regression M Lázaro-Gredilla, AR Figueiras-Vidal IEEE transactions on neural networks 21 (8), 1345-1351, 2010 | 45 | 2010 |
| 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 | 42 | 2012 |
