Yutian Chen
Yutian Chen
Research Scientist, DeepMind
Dirección de correo verificada de google.com - Página principal
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Mastering the game of Go without human knowledge
D Silver, J Schrittwieser, K Simonyan, I Antonoglou, A Huang, A Guez, ...
Nature 550 (7676), 354-359, 2017
44592017
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget
K Anoop, Y Chen, M Welling
Proceedings of the 31th International Conference on Machine Learning, (ICML …, 2014
227*2014
Super-samples from kernel herding
Y Chen, M Welling, A Smola
The Twenty-Sixth Conference Annual Conference on Uncertainty in Artificial …, 2010
1602010
Learning to Learn without Gradient Descent by Gradient Descent
Y Chen, MW Hoffman, SG Colmenarejo, M Denil, TP Lillicrap, M Botvinick, ...
Thirty-fourth International Conference on Machine Learning, 2017
137*2017
Variational Gaussian Process State-Space Models
R Frigola, Y Chen, C Rasmussen
Advances in Neural Information Processing Systems, 3680--3688, 2014
1152014
Parallel multiscale autoregressive density estimation
S Reed, A Oord, N Kalchbrenner, SG Colmenarejo, Z Wang, Y Chen, ...
International Conference on Machine Learning, 2912-2921, 2017
1132017
Sample Efficient Adaptive Text-to-Speech
Y Chen, Y Assael, B Shillingford, D Budden, S Reed, H Zen, Q Wang, ...
International Conference on Learning Representations, 2019
53*2019
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions
S Reed, Y Chen, T Paine, A Oord, SM Eslami, D Rezende, O Vinyals, ...
arXiv preprint arXiv:1710.10304, 2017
492017
Bayesian Optimization in AlphaGo
Y Chen, A Huang, Z Wang, I Antonoglou, J Schrittwieser, D Silver, ...
arXiv preprint arXiv:1812.06855, 2018
352018
Distributed Inference for Dirichlet Process Mixture Models
H Ge, Y Chen, M Wan, Z Ghahramani
Proceedings of The 32nd International Conference on Machine Learning, 2276-2284, 2015
342015
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data
Y Gal, Y Chen, Z Ghahramani
Proceedings of The 32nd International Conference on Machine Learning, 645–654, 2015
292015
On herding and the perceptron cycling theorem
A Gelfand, Y Chen, L van der Maaten, M Welling
Advances in Neural Information Processing Systems, 694-702, 2010
25*2010
Distributed and Adaptive Darting Monte Carlo through Regenerations
S Ahn, Y Chen, M Welling
Proceedings of the Sixteenth International Conference on Artificial …, 2013
222013
Probabilistic programming with programmable inference
VK Mansinghka, U Schaechtle, S Handa, A Radul, Y Chen, M Rinard
Proceedings of the 39th ACM SIGPLAN Conference on Programming Language …, 2018
192018
Statistical inference using weak chaos and infinite memory
M Welling, Y Chen
J. Physics: Conf. Series 233, 2010
162010
Scalable Discrete Sampling as a Multi-Armed Bandit Problem
Y Chen, Z Ghahramani
Proceedings of The 33rd International Conference on Machine Learning, 2492–2501, 2016
132016
Herded gibbs sampling
Y Chen, L Bornn, N De Freitas, M Eskelin, J Fang, M Welling
The Journal of Machine Learning Research 17 (1), 263-291, 2016
132016
Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior
Y Chen, M Welling
Proceedings of the Twenty-Eighth Conference Annual Conference on Uncertainty …, 2012
112012
Modular meta-learning with shrinkage
Y Chen, AL Friesen, F Behbahani, A Doucet, D Budden, M Hoffman, ...
Advances in Neural Information Processing Systems 33, 2020
72020
Herded Gibbs Sampling
L Bornn, Y Chen, N de Freitas, M Eskelin, J Fang, M Welling
Proceedings of the International Conference on Learning Representations, 2013
72013
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Artículos 1–20