Galen M Andrew
Galen M Andrew
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Cited by
Deep canonical correlation analysis
G Andrew, R Arora, J Bilmes, K Livescu
International conference on machine learning, 1247-1255, 2013
Scalable training of L1-regularized log-linear models
G Andrew, J Gao
Proceedings of the 24th international conference on Machine learning, 33-40, 2007
Applied federated learning: Improving google keyboard query suggestions
T Yang, G Andrew, H Eichner, H Sun, W Li, N Kong, D Ramage, ...
arXiv preprint arXiv:1812.02903, 2018
A conditional random field word segmenter for sighan bakeoff 2005
H Tseng, PC Chang, G Andrew, D Jurafsky, CD Manning
Proceedings of the fourth SIGHAN workshop on Chinese language Processing, 2005
Tregex and Tsurgeon: Tools for querying and manipulating tree data structures.
R Levy, G Andrew
LREC, 2231-2234, 2006
A field guide to federated optimization
J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ...
arXiv preprint arXiv:2107.06917, 2021
A portfolio approach to algorithm selection
K Leyton-Brown, E Nudelman, G Andrew, J McFadden, Y Shoham
IJCAI 3, 1542-1543, 2003
Differentially private learning with adaptive clipping
G Andrew, O Thakkar, B McMahan, S Ramaswamy
Advances in Neural Information Processing Systems 34, 17455-17466, 2021
A general approach to adding differential privacy to iterative training procedures
HB McMahan, G Andrew, U Erlingsson, S Chien, I Mironov, N Papernot, ...
arXiv preprint arXiv:1812.06210, 2018
Interactive control of diverse complex characters with neural networks
I Mordatch, K Lowrey, G Andrew, Z Popovic, EV Todorov
Advances in neural information processing systems 28, 2015
Query suggestion generation
G Andrew, S Park, RL Rounthwaite, SP Cucerzan, JP Buckley, J Chan
US Patent 7,984,004, 2011
Differentially private learning with adaptive clipping
O Thakkar, G Andrew, HB McMahan
arXiv e-prints, arXiv: 1905.03871, 2019
A hybrid markov/semi-markov conditional random field for sequence segmentation
G Andrew
Proceedings of the 2006 Conference on Empirical Methods in Natural Language …, 2006
Boosting as a metaphor for algorithm design
K Leyton-Brown, E Nudelman, G Andrew, J McFadden, Y Shoham
International Conference on Principles and Practice of Constraint …, 2003
Training production language models without memorizing user data
S Ramaswamy, O Thakkar, R Mathews, G Andrew, HB McMahan, ...
arXiv preprint arXiv:2009.10031, 2020
A comparative study of parameter estimation methods for statistical natural language processing
J Gao, G Andrew, M Johnson, K Toutanova
Annual Meeting of the Association for Computational Linguistics (ACL), 2007
Weighted linear model
R Moore, W Yih, G Andrew, K Toutanova
US Patent App. 11/485,015, 2007
Federated learning of gboard language models with differential privacy
Z Xu, Y Zhang, G Andrew, CA Choquette-Choo, P Kairouz, HB McMahan, ...
arXiv preprint arXiv:2305.18465, 2023
Determining a similarity measure between queries
RL Rounthwaite, G Andrew, EM Kiciman, X Yin
US Patent 8,606,786, 2013
TensorFlow privacy
G Andrew, S Chien, N Papernot
Accessed 6, 22, 2019
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