受强制性开放获取政策约束的文章 - Richard E Turner了解详情
可在其他位置公开访问的文章：76 篇
Rényi divergence variational inference
Y Li, RE Turner
Advances in neural information processing systems 29, 2016
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
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
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
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
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, Government of Spain
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
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, Government of Spain
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
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
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
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
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
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
Neural adaptive sequential monte carlo
SS Gu, Z Ghahramani, RE Turner
Advances in neural information processing systems 28, 2015
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
Stochastic expectation propagation
Y Li, JM Hernández-Lobato, RE Turner
Advances in neural information processing systems 28, 2015
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
The mirage of action-dependent baselines in reinforcement learning
G Tucker, S Bhupatiraju, S Gu, R Turner, Z Ghahramani, S Levine
International conference on machine learning, 5015-5024, 2018
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
Structured evolution with compact architectures for scalable policy optimization
K Choromanski, M Rowland, V Sindhwani, R Turner, A Weller
International Conference on Machine Learning, 970-978, 2018
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
Continual deep learning by functional regularisation of memorable past
P Pan, S Swaroop, A Immer, R Eschenhagen, R Turner, MEE Khan
Advances in neural information processing systems 33, 4453-4464, 2020
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, UK Research & Innovation
On the expressiveness of approximate inference in bayesian neural networks
A Foong, D Burt, Y Li, R Turner
Advances in Neural Information Processing Systems 33, 15897-15908, 2020
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Streaming sparse Gaussian process approximations
TD Bui, C Nguyen, RE Turner
Advances in Neural Information Processing Systems 30, 2017
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
Tasknorm: Rethinking batch normalization for meta-learning
J Bronskill, J Gordon, J Requeima, S Nowozin, R Turner
International Conference on Machine Learning, 1153-1164, 2020
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
Learning stationary time series using Gaussian processes with nonparametric kernels
F Tobar, TD Bui, RE Turner
Advances in neural information processing systems 28, 2015
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
Improving the Gaussian process sparse spectrum approximation by representing uncertainty in frequency inputs
Y Gal, R Turner
International Conference on Machine Learning, 655-664, 2015
强制性开放获取政策： UK Engineering and Physical Sciences Research Council
Tuning recurrent neural networks with reinforcement learning
N Jaques, S Gu, RE Turner, D Eck
强制性开放获取政策： Natural Sciences and Engineering Research Council of Canada
Meta-learning stationary stochastic process prediction with convolutional neural processes
A Foong, W Bruinsma, J Gordon, Y Dubois, J Requeima, R Turner
Advances in Neural Information Processing Systems 33, 8284-8295, 2020
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, UK Research & Innovation
A role for amplitude modulation phase relationships in speech rhythm perception
V Leong, MA Stone, RE Turner, U Goswami
The Journal of the Acoustical Society of America 136 (1), 366-381, 2014
强制性开放获取政策： UK Engineering and Physical Sciences Research Council, UK Medical Research …
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