עקוב אחר
Matthew W. Hoffman
Matthew W. Hoffman
Google DeepMind
כתובת אימייל מאומתת בדומיין google.com - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Learning to learn by gradient descent by gradient descent‏
M Andrychowicz, M Denil, S Gomez, MW Hoffman, D Pfau, T Schaul, ...‏
Advances in neural information processing systems 29, 2016‏
23672016
Predictive entropy search for efficient global optimization of black-box functions‏
JM Hernández-Lobato, MW Hoffman, Z Ghahramani‏
Advances in neural information processing systems 27, 2014‏
8072014
Distributed distributional deterministic policy gradients‏
G Barth-Maron, MW Hoffman, D Budden, W Dabney, D Horgan, D Tb, ...‏
arXiv preprint arXiv:1804.08617, 2018‏
6452018
Belief tracking and action selection in spoken dialog systems‏
R Gupta, D Ramachandran, A Raux, N Mehta, S Krawczyk, M Hoffman‏
US Patent 8,676,583, 2014‏
4012014
Portfolio Allocation for Bayesian Optimization.‏
MW Hoffman, E Brochu, N de Freitas‏
UAI, 327-336, 2011‏
3752011
Learning to learn without gradient descent by gradient descent‏
Y Chen, MW Hoffman, SG Colmenarejo, M Denil, TP Lillicrap, M Botvinick, ...‏
International Conference on Machine Learning, 748-756, 2017‏
342*2017
Learned optimizers that scale and generalize‏
O Wichrowska, N Maheswaranathan, MW Hoffman, SG Colmenarejo, ...‏
International conference on machine learning, 3751-3760, 2017‏
3172017
Acme: A research framework for distributed reinforcement learning‏
MW Hoffman, B Shahriari, J Aslanides, G Barth-Maron, N Momchev, ...‏
arXiv preprint arXiv:2006.00979, 2020‏
2512020
Large-scale visual speech recognition‏
B Shillingford, Y Assael, MW Hoffman, T Paine, C Hughes, U Prabhu, ...‏
arXiv preprint arXiv:1807.05162, 2018‏
2002018
A general framework for constrained Bayesian optimization using information-based search‏
JM Hernández-Lobato, MA Gelbart, RP Adams, MW Hoffman, ...‏
Journal of Machine Learning Research 17 (160), 1-53, 2016‏
1932016
Predictive entropy search for Bayesian optimization with unknown constraints‏
JM Hernández-Lobato, M Gelbart, M Hoffman, R Adams, Z Ghahramani‏
International conference on machine learning, 1699-1707, 2015‏
1832015
Rl unplugged: A suite of benchmarks for offline reinforcement learning‏
C Gulcehre, Z Wang, A Novikov, T Paine, S Gómez, K Zolna, R Agarwal, ...‏
Advances in Neural Information Processing Systems 33, 7248-7259, 2020‏
1772020
On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning‏
MW Hoffman, B Shahriari, N de Freitas‏
Proceedings of the Seventeenth International Conference on Artificial …, 2014‏
177*2014
A probabilistic model of gaze imitation and shared attention‏
MW Hoffman, DB Grimes, AP Shon, RPN Rao‏
Neural Networks 19 (3), 299-310, 2006‏
1052006
An entropy search portfolio for Bayesian optimization‏
B Shahriari, Z Wang, MW Hoffman, A Bouchard-Côté, N de Freitas‏
arXiv preprint arXiv:1406.4625, 2014‏
822014
Regularized Least Squares Temporal Difference Learning with Nested ℓ2 and ℓ1 Penalization‏
MW Hoffman, A Lazaric, M Ghavamzadeh, R Munos‏
European Workshop on Reinforcement Learning, 102-114, 2011‏
582011
Finite-sample analysis of Lasso-TD‏
M Ghavamzadeh, A Lazaric, R Munos, MW Hoffman‏
International Conference on Machine Learning, 2011‏
582011
Modular meta-learning with shrinkage‏
Y Chen, AL Friesen, F Behbahani, A Doucet, D Budden, M Hoffman, ...‏
Advances in Neural Information Processing Systems 33, 2858-2869, 2020‏
452020
The intentional unintentional agent: Learning to solve many continuous control tasks simultaneously‏
S Cabi, SG Colmenarejo, MW Hoffman, M Denil, Z Wang, N Freitas‏
Conference on Robot Learning, 207-216, 2017‏
422017
Bayesian policy learning with trans-dimensional MCMC‏
M Hoffman, A Doucet, N Freitas, A Jasra‏
Advances in neural information processing systems 20, 2007‏
422007
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מאמרים 1–20