Damianou, Andreas

9 publications

AISTATS 2021 Fast Adaptation with Linearized Neural Networks Wesley Maddox, Shuai Tang, Pablo Moreno, Andrew Gordon Wilson, Andreas Damianou

NeurIPSW 2021 Efficient Automated Online Experimentation with Multi-Fidelity Steven Kleinegesse, Zhenwen Dai, Andreas Damianou, Kamil Ciosek, Federico Tomasi

JMLR 2021 Multi-View Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis Andreas Damianou, Neil D. Lawrence, Carl Henrik Ek

ICLR 2021 Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data Francesco Tonolini, Pablo Garcia Moreno, Andreas Damianou, Roderick Murray-Smith

ICLR 2020 Empirical Bayes Transductive Meta-Learning with Synthetic Gradients Shell Xu Hu, Pablo G. Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil D. Lawrence, Andreas Damianou

ICMLW 2019 ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems Bharathan Balaji, Jordan Bell-Masterson, Enes Bilgin, Andreas Damianou, Pablo Moreno Garcia, Arpit Jain, Anna Luo, Alvaro Maggiar, Balakrishnan Narayanaswamy, Chun Ye

ICLR 2019 Transferring Knowledge Across Learning Processes Sebastian Flennerhag, Pablo G. Moreno, Neil D. Lawrence, Andreas Damianou

ICML 2017 Preferential Bayesian Optimization Javier González, Zhenwen Dai, Andreas Damianou, Neil D. Lawrence

NeurIPS 2011 Variational Gaussian Process Dynamical Systems Andreas Damianou, Michalis K. Titsias, Neil D. Lawrence