Richard E Turner
Cited by
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Variational continual learning
CV Nguyen, Y Li, TD Bui, RE Turner
arXiv preprint arXiv:1710.10628, 2017
Q-prop: Sample-efficient policy gradient with an off-policy critic
S Gu, T Lillicrap, Z Ghahramani, RE Turner, S Levine
arXiv preprint arXiv:1611.02247, 2016
Two problems with variational expectation maximisation for time-series models
RE Turner, M Sahani
The processing and perception of size information in speech sounds
DRR Smith, RD Patterson, R Turner, H Kawahara, T Irino
The Journal of the Acoustical Society of America 117 (1), 305-318, 2005
Gaussian process behaviour in wide deep neural networks
Matthews, J Hron, M Rowland, RE Turner, Z Ghahramani
International Conference on Learning Representations 4, 2018
Rényi divergence variational inference
Y Li, RE Turner
Advances in neural information processing systems 29, 2016
Deep Gaussian processes for regression using approximate expectation propagation
T Bui, D Hernández-Lobato, J Hernandez-Lobato, Y Li, R Turner
International conference on machine learning, 1472-1481, 2016
Invariant models for causal transfer learning
M Rojas-Carulla, B Schölkopf, R Turner, J Peters
The Journal of Machine Learning Research 19 (1), 1309-1342, 2018
Black-box alpha divergence minimization
J Hernandez-Lobato, Y Li, M Rowland, T Bui, D Hernández-Lobato, ...
International Conference on Machine Learning, 1511-1520, 2016
Meta-learning probabilistic inference for prediction
J Gordon, J Bronskill, M Bauer, S Nowozin, RE Turner
arXiv preprint arXiv:1805.09921, 2018
Interpolated policy gradient: Merging on-policy and off-policy gradient estimation for deep reinforcement learning
SS Gu, T Lillicrap, RE Turner, Z Ghahramani, B Schölkopf, S Levine
Advances in neural information processing systems 30, 2017
Practical deep learning with Bayesian principles
K Osawa, S Swaroop, MEE Khan, A Jain, R Eschenhagen, RE Turner, ...
Advances in neural information processing systems 32, 2019
On sparse variational methods and the Kullback-Leibler divergence between stochastic processes
RETZG Alexander G. Matthews, James Hensman
Proceedings of the 19th International Conference on Artificial Intelligence …, 2016
Nonlinear ICA using auxiliary variables and generalized contrastive learning
A Hyvarinen, H Sasaki, R Turner
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Deterministic variational inference for robust bayesian neural networks
A Wu, S Nowozin, E Meeds, RE Turner, JM Hernandez-Lobato, AL Gaunt
arXiv preprint arXiv:1810.03958, 2018
A unifying framework for Gaussian process pseudo-point approximations using power expectation propagation
TD Bui, J Yan, RE Turner
The Journal of Machine Learning Research 18 (1), 3649-3720, 2017
Neural adaptive sequential monte carlo
SS Gu, Z Ghahramani, RE Turner
Advances in neural information processing systems 28, 2015
Stochastic expectation propagation
Y Li, JM Hernández-Lobato, RE Turner
Advances in neural information processing systems 28, 2015
Sequence tutor: Conservative fine-tuning of sequence generation models with kl-control
N Jaques, S Gu, D Bahdanau, JM Hernández-Lobato, RE Turner, D Eck
International Conference on Machine Learning, 1645-1654, 2017
Fast and flexible multi-task classification using conditional neural adaptive processes
J Requeima, J Gordon, J Bronskill, S Nowozin, RE Turner
Advances in Neural Information Processing Systems 32, 2019
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