Virginia Smith
TitleCited byYear
Communication-efficient distributed dual coordinate ascent
M Jaggi*, V Smith*, M Takác, J Terhorst, S Krishnan, T Hofmann, ...
Advances in Neural Information Processing Systems, 3068-3076, 2014
2092014
MLI: An API for distributed machine learning
ER Sparks, A Talwalkar, V Smith, J Kottalam, X Pan, J Gonzalez, ...
2013 IEEE 13th International Conference on Data Mining, 1187-1192, 2013
1462013
Adding vs. averaging in distributed primal-dual optimization
C Ma*, V Smith*, M Jaggi, MI Jordan, P Richtárik, ...
International Conference on Machine Learning, 2015
1042015
Federated multi-task learning
V Smith, CK Chiang, M Sanjabi, AS Talwalkar
Advances in Neural Information Processing Systems, 4424-4434, 2017
912017
Identifying models of HVAC systems using semiparametric regression
A Aswani, N Master, J Taneja, V Smith, A Krioukov, D Culler, C Tomlin
2012 American Control Conference (ACC), 3675-3680, 2012
732012
Cocoa: A general framework for communication-efficient distributed optimization
V Smith, S Forte, C Ma, M Takac, MI Jordan, M Jaggi
arXiv preprint arXiv:1611.02189, 2016
562016
Distributed optimization with arbitrary local solvers
C Ma, J Konečný, M Jaggi, V Smith, MI Jordan, P Richtárik, M Takáč
optimization Methods and Software 32 (4), 813-848, 2017
402017
Modeling building thermal response to HVAC zoning
V Smith, T Sookoor, K Whitehouse
ACM SIGBED Review 9 (3), 39-45, 2012
142012
L1-regularized distributed optimization: A communication-efficient primal-dual framework
V Smith, S Forte, MI Jordan, M Jaggi
arXiv preprint arXiv:1512.04011, 2015
132015
Mlbase: A distributed machine learning wrapper
A Talwalkar, T Kraska, R Griffith, J Duchi, J Gonzalez, D Britz, X Pan, ...
NIPS Big Learning Workshop, 2012
132012
A comparative study of high renewables penetration electricity grids
J Taneja, V Smith, D Culler, C Rosenberg
2013 IEEE International Conference on Smart Grid Communications …, 2013
112013
Leaf: A benchmark for federated settings
S Caldas, P Wu, T Li, J Konečný, HB McMahan, V Smith, A Talwalkar
arXiv preprint arXiv:1812.01097, 2018
72018
A kernel theory of modern data augmentation
T Dao, A Gu, AJ Ratner, V Smith, C De Sa, C Ré
arXiv preprint arXiv:1803.06084, 2018
72018
On the convergence of federated optimization in heterogeneous networks
AK Sahu, T Li, M Sanjabi, M Zaheer, A Talwalkar, V Smith
arXiv preprint arXiv:1812.06127, 2018
62018
Classification of sidewalks in street view images
V Smith, J Malik, D Culler
2013 International Green Computing Conference Proceedings, 1-6, 2013
52013
System-aware optimization for machine learning at scale
V Smith
UC Berkeley, 2017
32017
SysML: The New Frontier of Machine Learning Systems
A Ratner, D Alistarh, G Alonso, P Bailis, S Bird, N Carlini, B Catanzaro, ...
arXiv preprint arXiv:1904.03257, 2019
22019
One-Shot Federated Learning
N Guha, A Talwlkar, V Smith
arXiv preprint arXiv:1902.11175, 2019
22019
Going In-Depth: Finding Longform on the Web
V Smith, M Connor, I Stanton
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
22015
Efficient Augmentation via Data Subsampling
M Kuchnik, V Smith
arXiv preprint arXiv:1810.05222, 2018
12018
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Articles 1–20