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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
85802017
Super-samples from kernel herding
Y Chen, M Welling, A Smola
The Twenty-Sixth Conference Annual Conference on Uncertainty in Artificial …, 2010
2722010
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
265*2014
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
261*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
2112017
A Generalist Agent
S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ...
arXiv preprint arXiv:2205.06175, 2022
2022022
Variational Gaussian Process State-Space Models
R Frigola, Y Chen, C Rasmussen
Advances in Neural Information Processing Systems, 3680--3688, 2014
1862014
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
130*2019
Bayesian Optimization in AlphaGo
Y Chen, A Huang, Z Wang, I Antonoglou, J Schrittwieser, D Silver, ...
arXiv preprint arXiv:1812.06855, 2018
1102018
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
852017
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
442015
Benchmarks for Deep Off-Policy Evaluation
J Fu, M Norouzi, O Nachum, G Tucker, Z Wang, A Novikov, M Yang, ...
International Conference on Learning Representations, 2021
432021
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
432015
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
422018
Advanced Structured Prediction
S Živný, T Werner, D Pruša, AFT Martins, T Schoenemann, V Kolmogorov, ...
MIT Press, 2014
40*2014
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
342020
Learning Deep Features in Instrumental Variable Regression
L Xu, Y Chen, S Srinivasan, N de Freitas, A Doucet, A Gretton
International Conference on Learning Representations, 2021
332021
Perturbations, Optimization, and Statistics
AL Yuille, R Adams, RS Zemel, Y Chen, M Welling, A Gane, T Jaakkola, ...
MIT Press, 2017
33*2017
Distributed and Adaptive Darting Monte Carlo through Regenerations
S Ahn, Y Chen, M Welling
Proceedings of the Sixteenth International Conference on Artificial …, 2013
332013
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
31*2010
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Artículos 1–20