Pablo Garcia Moreno

11 papers A* 2A 1Journal 5Unranked 3

Year	Rank	Type	Title / Venue / Authors
2021	A	`conf`	Fast Adaptation with Linearized Neural Networks. AISTATS Wesley J. Maddox, Shuai Tang, Pablo Garcia Moreno, Andrew Gordon Wilson, Andreas C. Damianou
2021	J	`jnl`	Fast Adaptation with Linearized Neural Networks. CoRR Wesley J. Maddox, Shuai Tang, Pablo Garcia Moreno, Andrew Gordon Wilson, Andreas C. Damianou
2021	—	`conf`	Preferential Batch Bayesian Optimization. MLSP Eero Siivola, Akash Kumar Dhaka, Michael Riis Andersen, Javier González, Pablo Garcia Moreno, Aki Vehtari
2021	A*	`conf`	Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data. ICLR Francesco Tonolini, Pablo Garcia Moreno, Andreas C. Damianou, Roderick Murray-Smith
2020	A*	`conf`	Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. ICLR Shell Xu Hu, Pablo Garcia Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil D. Lawrence, Andreas C. Damianou
2020	J	`jnl`	Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. CoRR Shell Xu Hu, Pablo Garcia Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil D. Lawrence, Andreas C. Damianou
2020	J	`jnl`	Preferential Batch Bayesian Optimization. CoRR Eero Siivola, Akash Kumar Dhaka, Michael Riis Andersen, Javier González, Pablo Garcia Moreno, Aki Vehtari
2020	—	`conf`	Scalable Gaussian Process for Extreme Classification. MLSP Akash Kumar Dhaka, Michael Riis Andersen, Pablo Garcia Moreno, Aki Vehtari
2020	J	`jnl`	Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data. CoRR Francesco Tonolini, Pablo Garcia Moreno, Andreas C. Damianou, Roderick Murray-Smith
2019	—	`conf`	Transferring Knowledge across Learning Processes. ICLR Sebastian Flennerhag, Pablo Garcia Moreno, Neil D. Lawrence, Andreas C. Damianou
2018	J	`jnl`	Transferring Knowledge across Learning Processes. CoRR Sebastian Flennerhag, Pablo Garcia Moreno, Neil D. Lawrence, Andreas C. Damianou