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Feng Niu
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Cited by
Year
Hogwild!: A lock-free approach to parallelizing stochastic gradient descent
B Recht, C Re, S Wright, F Niu
Advances in neural information processing systems 24, 2011
26842011
Tuffy: Scaling up statistical inference in markov logic networks using an rdbms
F Niu, C Ré, AH Doan, J Shavlik
arXiv preprint arXiv:1104.3216, 2011
3582011
DeepDive: Web-scale Knowledge-base Construction using Statistical Learning and Inference.
F Niu, C Zhang, C Ré, JW Shavlik
VLDS 12, 25-28, 2012
2632012
Brainwash: A Data System for Feature Engineering.
MR Anderson, D Antenucci, V Bittorf, M Burgess, MJ Cafarella, A Kumar, ...
Cidr, 2013
1482013
Elementary: Large-scale knowledge-base construction via machine learning and statistical inference
F Niu, C Zhang, C Ré, J Shavlik
International Journal on Semantic Web and Information Systems (IJSWIS) 8 (3 …, 2012
1372012
Building an Entity-Centric Stream Filtering Test Collection for TREC 2012.
JR Frank, M Kleiman-Weiner, DA Roberts, F Niu, C Zhang, C Ré, ...
TREC, 2012
1032012
Hazy: making it easier to build and maintain big-data analytics
A Kumar, F Niu, C Ré
Communications of the ACM 56 (3), 40-49, 2013
982013
Extracting databases from dark data with deepdive
C Zhang, J Shin, C Ré, M Cafarella, F Niu
Proceedings of the 2016 International Conference on Management of Data, 847-859, 2016
522016
Big data versus the crowd: Looking for relationships in all the right places
C Zhang, F Niu, C Ré, J Shavlik
Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012
512012
Overton: A data system for monitoring and improving machine-learned products
C Ré, F Niu, P Gudipati, C Srisuwananukorn
arXiv preprint arXiv:1909.05372, 2019
462019
Scaling inference for markov logic via dual decomposition
F Niu, C Zhang, C Ré, J Shavlik
2012 IEEE 12th International Conference on Data Mining, 1032-1037, 2012
272012
The price of anarchy in bertrand games
S Chawla, F Niu
Proceedings of the 10th ACM conference on Electronic commerce, 305-314, 2009
242009
Felix: Scaling inference for markov logic with an operator-based approach
F Niu, C Zhang, C Ré, J Shavlik
ArXiv e-prints, 2011
172011
Hazy: Making it Easier to Build and Maintain Big-data Analytics: Racing to unleash the full potential of big data with the latest statistical and machine-learning techniques.
A Kumar, F Niu, C Ré
Queue 11 (1), 30-46, 2013
162013
RouteBazaar: An Economic Framework for Flexible Routing
H Esquivel, C Muthukrishnan, F Niu, S Chawla, A Akella
University of Wisconsin-Madison Department of Computer Sciences, 2009
92009
Bertrand competition in networks
S Chawla, F Niu, T Roughgarden
ACM SIGecom Exchanges 8 (1), 1-4, 2009
82009
Web-scale knowledge-base construction via statistical inference and learning
F Niu
The University of Wisconsin-Madison, 2012
72012
User manual of tuffy 0.3
A Doan, F Niu, C Ré, J Shavlik, C Zhang
Tech. rep., University of Wisconsin-Madison, 2011
72011
Scaling inference for markov logic with a task-decomposition approach
F Niu, C Zhang, C Ré, J Shavlik
arXiv preprint arXiv:1108.0294, 2011
22011
USER MANUAL OF FELIX 0.2
F Niu, C Ré, J Shavlik, J Slauson, C Zhang
2011
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Articles 1–20