متابعة
Richard E Turner
Richard E Turner
Professor, University of Cambridge
بريد إلكتروني تم التحقق منه على cam.ac.uk - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Variational continual learning‏
CV Nguyen, Y Li, TD Bui, RE Turner‏
arXiv preprint arXiv:1710.10628, 2017‏
8632017
Gaussian process behaviour in wide deep neural networks‏
Matthews, J Hron, M Rowland, RE Turner, Z Ghahramani‏
International Conference on Learning Representations 4, 2018‏
4762018
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
4162016
Two problems with variational expectation maximisation for time-series models‏
RE Turner, M Sahani‏
408*2011
Invariant models for causal transfer learning‏
M Rojas-Carulla, B Schölkopf, R Turner, J Peters‏
Journal of Machine Learning Research 19 (36), 1-34, 2018‏
3922018
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
3762019
Rényi divergence variational inference‏
Y Li, RE Turner‏
Advances in neural information processing systems 29, 2016‏
3632016
Meta-learning probabilistic inference for prediction‏
J Gordon, J Bronskill, M Bauer, S Nowozin, RE Turner‏
arXiv preprint arXiv:1805.09921, 2018‏
3312018
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
2992005
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
2952019
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
2942019
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
2842016
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
2782016
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
2322018
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
220*2016
A unifying framework for Gaussian process pseudo-point approximations using power expectation propagation‏
TD Bui, J Yan, RE Turner‏
Journal of Machine Learning Research 18 (104), 1-72, 2017‏
2012017
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
2012017
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
1952017
Convolutional conditional neural processes‏
J Gordon, WP Bruinsma, AYK Foong, J Requeima, Y Dubois, RE Turner‏
arXiv preprint arXiv:1910.13556, 2019‏
1822019
Bayesian neural network priors revisited‏
V Fortuin, A Garriga-Alonso, SW Ober, F Wenzel, G Rätsch, RE Turner, ...‏
arXiv preprint arXiv:2102.06571, 2021‏
1712021
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مقالات 1–20