Pablo G. Moreno

Transferring Knowledge across Learning Processes pdf

Neil D. Lawrence, Sebastian Flennerhag, Andreas C. Damianou, 2018, ICLR.

Interpretable Anomaly Detection with Mondrian P{ó}lya Forests on Data Streams pdf

Tom Diethe, Eric Meissner, Charlie Dickens, 2020, ArXiv.

Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data pdf

Roderick Murray-Smith, Andreas C. Damianou, Pablo G. Moreno, 2020, ICLR.

Bayesian nonparametric crowdsourcing

Yee Whye Teh, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, 2014, J. Mach. Learn. Res..

Empirical Bayes Meta-Learning with Synthetic Gradients

Pablo G. Moreno, Neil D. Lawrence, G. Obozinski, 2019 .

E MPIRICAL B AYES T RANSDUCTIVE M ETA -L EARNING WITH S YNTHETIC G RADIENTS

Pablo G. Moreno, Neil D. Lawrence, G. Obozinski, 2020 .

Fast Adaptation with Linearized Neural Networks

Andrew Gordon Wilson, Andreas Damianou, Wesley J. Maddox, 2021, AISTATS.

Preferential Batch Bayesian Optimization pdf

Aki Vehtari, Michael Riis Andersen, Javier Gonzalez, 2020, 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP).

Empirical Bayes Transductive Meta-Learning with Synthetic Gradients pdf

Neil D. Lawrence, Xi Shen, Guillaume Obozinski, 2020, ICLR.

On Transfer Learning via Linearized Neural Networks

Andrew Gordon Wilson, Andreas Damianou, Shuai Tang, 2019 .

Scalable Gaussian Process for Extreme Classification

Aki Vehtari, Michael Riis Andersen, Akash Kumar Dhaka, 2020, 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP).

Preferential Batch Bayesian Optimization

Aki Vehtari, Michael Riis Andersen, Eero Siivola, 2020, 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP).