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Yutian Chen
Yutian Chen
Research Scientist, DeepMind
Geverifieerd e-mailadres voor google.com - Homepage
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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
116532017
A Generalist Agent
S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ...
arXiv preprint arXiv:2205.06175, 2022
9262022
Super-samples from kernel herding
Y Chen, M Welling, A Smola
The Twenty-Sixth Conference Annual Conference on Uncertainty in Artificial …, 2010
4102010
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
350*2017
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
295*2014
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
2422017
Variational Gaussian Process State-Space Models
R Frigola, Y Chen, C Rasmussen
Advances in Neural Information Processing Systems, 3680--3688, 2014
2342014
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
1742019
Bayesian Optimization in AlphaGo
Y Chen, A Huang, Z Wang, I Antonoglou, J Schrittwieser, D Silver, ...
arXiv preprint arXiv:1812.06855, 2018
1602018
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
992021
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
942017
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
782021
Griffin: Mixing gated linear recurrences with local attention for efficient language models
S De, SL Smith, A Fernando, A Botev, G Cristian-Muraru, A Gu, R Haroun, ...
arXiv preprint arXiv:2402.19427, 2024
662024
Shaking the foundations: delusions in sequence models for interaction and control
PA Ortega, M Kunesch, G Delétang, T Genewein, J Grau-Moya, J Veness, ...
arXiv preprint arXiv:2110.10819, 2021
662021
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
582015
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
572018
Towards learning universal hyperparameter optimizers with transformers
Y Chen, X Song, C Lee, Z Wang, R Zhang, D Dohan, K Kawakami, ...
Advances in Neural Information Processing Systems 35, 32053-32068, 2022
562022
Discovering evolution strategies via meta-black-box optimization
R Lange, T Schaul, Y Chen, T Zahavy, V Dalibard, C Lu, S Singh, ...
Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023
462023
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
462020
Perturbations, Optimization, and Statistics
AL Yuille, R Adams, RS Zemel, Y Chen, M Welling, A Gane, T Jaakkola, ...
MIT Press, 2017
46*2017
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Artikelen 1–20