Yutian Chen
Yutian Chen
Research Scientist, DeepMind
Verified email at google.com - Homepage
TitleCited byYear
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
21452017
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
182*2014
Super-samples from kernel herding
Y Chen, M Welling, A Smola
The Twenty-Sixth Conference Annual Conference on Uncertainty in Artificial …, 2010
1192010
Variational Gaussian Process State-Space Models
R Frigola, Y Chen, C Rasmussen
Advances in Neural Information Processing Systems, 3680--3688, 2014
822014
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
78*2017
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
592017
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
232017
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
202015
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
202010
Sample Efficient Adaptive Text-to-Speech
Y Chen, Y Assael, B Shillingford, D Budden, S Reed, H Zen, Q Wang, ...
arXiv preprint arXiv:1809.10460, 2018
192018
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
192015
Distributed and Adaptive Darting Monte Carlo through Regenerations
S Ahn, Y Chen, M Welling
Proceedings of the Sixteenth International Conference on Artificial …, 2013
182013
Statistical inference using weak chaos and infinite memory
M Welling, Y Chen
Journal of Physics: Conference Series 233 (1), 012005, 2010
152010
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
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
9*2016
Bayesian Optimization in AlphaGo
Y Chen, A Huang, Z Wang, I Antonoglou, J Schrittwieser, D Silver, ...
arXiv preprint arXiv:1812.06855, 2018
82018
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
82018
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
82016
Parametric herding
Y Chen, M Welling
Proceedings of the Thirteenth International Conference on Artificial …, 2010
72010
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
62013
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Articles 1–20