George Tucker
George Tucker
Google Brain
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Efficient Bayesian mixed-model analysis increases association power in large cohorts
PR Loh, G Tucker, BK Bulik-Sullivan, BJ Vilhjalmsson, HK Finucane, ...
Nature genetics 47 (3), 284, 2015
8452015
Regularizing neural networks by penalizing confident output distributions
G Pereyra, G Tucker, J Chorowski, Ł Kaiser, G Hinton
arXiv preprint arXiv:1701.06548, 2017
5532017
Soft actor-critic algorithms and applications
T Haarnoja, A Zhou, K Hartikainen, G Tucker, S Ha, J Tan, V Kumar, ...
arXiv preprint arXiv:1812.05905, 2018
4142018
Widespread macromolecular interaction perturbations in human genetic disorders
N Sahni, S Yi, M Taipale, JIF Bass, J Coulombe-Huntington, F Yang, ...
Cell 161 (3), 647-660, 2015
3672015
A quantitative chaperone interaction network reveals the architecture of cellular protein homeostasis pathways
M Taipale, G Tucker, J Peng, I Krykbaeva, ZY Lin, B Larsen, H Choi, ...
Cell 158 (2), 434-448, 2014
3042014
Model-based reinforcement learning for atari
L Kaiser, M Babaeizadeh, P Milos, B Osinski, RH Campbell, ...
arXiv preprint arXiv:1903.00374, 2019
2492019
Soft Co-Clustering of Data
FW Elliott, R Rohwer, SC Jones, GJ Tucker, CJ Kain, CN Weidert
US Patent App. 12/133,902, 2009
2182009
On variational bounds of mutual information
B Poole, S Ozair, A Van Den Oord, A Alemi, G Tucker
International Conference on Machine Learning, 5171-5180, 2019
206*2019
Rebar: Low-variance, unbiased gradient estimates for discrete latent variable models
G Tucker, A Mnih, CJ Maddison, D Lawson, J Sohl-Dickstein
arXiv preprint arXiv:1703.07370, 2017
2012017
Deep bayesian bandits showdown: An empirical comparison of bayesian deep networks for thompson sampling
C Riquelme, G Tucker, J Snoek
arXiv preprint arXiv:1802.09127, 2018
1572018
Sample-efficient reinforcement learning with stochastic ensemble value expansion
J Buckman, D Hafner, G Tucker, E Brevdo, H Lee
arXiv preprint arXiv:1807.01675, 2018
1372018
Filtering variational objectives
CJ Maddison, D Lawson, G Tucker, N Heess, M Norouzi, A Mnih, ...
arXiv preprint arXiv:1705.09279, 2017
1282017
Learning to walk via deep reinforcement learning
T Haarnoja, S Ha, A Zhou, J Tan, G Tucker, S Levine
arXiv preprint arXiv:1812.11103, 2018
1272018
Offline reinforcement learning: Tutorial, review, and perspectives on open problems
S Levine, A Kumar, G Tucker, J Fu
arXiv preprint arXiv:2005.01643, 2020
1222020
Stabilizing off-policy q-learning via bootstrapping error reduction
A Kumar, J Fu, G Tucker, S Levine
arXiv preprint arXiv:1906.00949, 2019
1222019
Methods and devices for ignoring similar audio being received by a system
AD Rosen, MJ Rodehorst, GJ Tucker, ALM Challenner
US Patent 9,728,188, 2017
1052017
Proteomic and functional genomic landscape of receptor tyrosine kinase and ras to extracellular signal–regulated kinase signaling
AA Friedman, G Tucker, R Singh, D Yan, A Vinayagam, Y Hu, R Binari, ...
Science signaling 4 (196), rs10-rs10, 2011
952011
Max-pooling loss training of long short-term memory networks for small-footprint keyword spotting
M Sun, A Raju, G Tucker, S Panchapagesan, G Fu, A Mandal, ...
2016 IEEE Spoken Language Technology Workshop (SLT), 474-480, 2016
782016
Network topology and parameter estimation: from experimental design methods to gene regulatory network kinetics using a community based approach
P Meyer, T Cokelaer, D Chandran, KH Kim, PR Loh, G Tucker, M Lipson, ...
BMC systems biology 8 (1), 1-18, 2014
782014
Behavior regularized offline reinforcement learning
Y Wu, G Tucker, O Nachum
arXiv preprint arXiv:1911.11361, 2019
672019
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Articles 1–20