| Empirical bayes transductive meta-learning with synthetic gradients SX Hu, PG Moreno, Y Xiao, X Shen, G Obozinski, ND Lawrence, ... arXiv preprint arXiv:2004.12696, 2020 | 164 | 2020 |
| Transferring knowledge across learning processes S Flennerhag, PG Moreno, ND Lawrence, A Damianou arXiv preprint arXiv:1812.01054, 2018 | 73 | 2018 |
| Bayesian nonparametric crowdsourcing P Moreno, A Artés-Rodríguez, Y Teh, F Perez-Cruz Journal of Machine Learning Research, 2015 | 65 | 2015 |
| Human activity recognition by combining a small number of classifiers A Nazábal, P Garcia-Moreno, A Artes-Rodriguez, Z Ghahramani IEEE journal of biomedical and health informatics 20 (5), 1342-1351, 2015 | 52 | 2015 |
| Orl: Reinforcement learning benchmarks for online stochastic optimization problems B Balaji, J Bell-Masterson, E Bilgin, A Damianou, PM Garcia, A Jain, ... arXiv preprint arXiv:1911.10641, 2019 | 44 | 2019 |
| Fast adaptation with linearized neural networks W Maddox, S Tang, P Moreno, AG Wilson, A Damianou International Conference on Artificial Intelligence and Statistics, 2737-2745, 2021 | 40 | 2021 |
| Preferential batch Bayesian optimization E Siivola, AK Dhaka, MR Andersen, J González, PG Moreno, A Vehtari 2021 IEEE 31st International Workshop on Machine Learning for Signal …, 2021 | 23 | 2021 |
| Bayesian nonparametric crowdsourcing PG Moreno, YW Teh, F Perez-Cruz, A Artés-Rodríguez arXiv preprint arXiv:1407.5017, 2014 | 11 | 2014 |
| Interpretable Anomaly Detection with Mondrian P {\'o} lya Forests on Data Streams C Dickens, E Meissner, PG Moreno, T Diethe arXiv preprint arXiv:2008.01505, 2020 | 4 | 2020 |
| A Hold-out method to correct PCA variance inflation P García-Moreno, A Artés-Rodríguez, LK Hansen 2012 3rd International Workshop on Cognitive Information Processing (CIP), 1-6, 2012 | 3 | 2012 |
| Tomographic auto-encoder: unsupervised bayesian recovery of corrupted data F Tonolini, PG Moreno, A Damianou, R Murray-Smith arXiv preprint arXiv:2006.16938, 2020 | 2 | 2020 |
| On transfer learning via linearized neural networks WJ Maddox, S Tang, PG Moreno, AG Wilson, A Damianou NeurIPS Workshop on Meta-Learning (MetaLearn 2019), 2019 | 2 | 2019 |
| Map/reduce uncollapsed Gibbs sampling for Bayesian non parametric models MF Pradier, PG Moreno, FJR Ruiz, I Valera, H Mollina-Bulla, F Perez-Cruz Workshop in Software Engineering for Machine Learning at NIPS, 2014 | 2 | 2014 |
| Scalable Gaussian process for extreme classification AK Dhaka, MR Andersen, PG Moreno, A Vehtari 2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020 | 1 | 2020 |
| β-BNN: A rate-distortion perspective on Bayesian neural networks S Hu, A Damianou, PG Moreno | 1 | 2018 |
| Learn to transfer learn by studying task manifolds S Flennerhag, PG Moreno, N Lawrence, A Damianou | | 2018 |
| Bayesian nonparametrics for crowdsourcing P García Moreno | | 2015 |
| A compact disk antenna for car-to-car communication P García Moreno Institutt for elektronikk og telekommunikasjon, 2008 | | 2008 |
