Ben London
Ben London
Machine Learning Scientist at Amazon
Verified email at amazon.com
TitleCited byYear
Hinge-loss Markov random fields: Convex inference for structured prediction
S Bach, B Huang, B London, L Getoor
arXiv preprint arXiv:1309.6813, 2013
1152013
Query-driven active surveying for collective classification
G Namata, B London, L Getoor, B Huang, UMD EDU
10th International Workshop on Mining and Learning with Graphs 8, 2012
522012
Collective stability in structured prediction: Generalization from one example
B London, B Huang, B Taskar, L Getoor
International Conference on Machine Learning, 828-836, 2013
422013
Multi-relational learning using weighted tensor decomposition with modular loss
B London, T Rekatsinas, B Huang, L Getoor
arXiv preprint arXiv:1303.1733, 2013
242013
Collective Classification of Network Data.
B London, L Getoor
Data Classification: Algorithms and Applications 399, 2014
232014
Stability and generalization in structured prediction
B London, B Huang, L Getoor
The Journal of Machine Learning Research 17 (1), 7808-7859, 2016
222016
PAC-Bayesian collective stability
B London, B Huang, B Taskar, L Getoor
Artificial intelligence and statistics, 585-594, 2014
222014
Collective activity detection using hinge-loss Markov random fields
B London, S Khamis, S Bach, B Huang, L Getoor, L Davis
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
222013
A PAC-Bayesian analysis of randomized learning with application to stochastic gradient descent
B London
Advances in Neural Information Processing Systems, 2931-2940, 2017
172017
Reducing label cost by combining feature labels and crowdsourcing
J Pujara, B London, L Getoor
ICML workshop on Combining learning strategies to reduce label cost, 2011
132011
Collective graph identification
GM Namata, B London, L Getoor
ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (3), 1-36, 2016
122016
Improved generalization bounds for large-scale structured prediction
B London, B Huang, L Getoor
NIPS workshop on algorithmic and statistical approaches for large social …, 2012
92012
Sustainability at scale: towards bridging the intention-behavior gap with sustainable recommendations
S Tomkins, S Isley, B London, L Getoor
Proceedings of the 12th ACM Conference on Recommender Systems, 214-218, 2018
72018
Generalization bounds for randomized learning with application to stochastic gradient descent
B London
NIPS Workshop on Optimizing the Optimizers, 2016
72016
Budgeted Online Collective Inference.
J Pujara, B London, L Getoor
UAI, 712-721, 2015
72015
The benefits of learning with strongly convex approximate inference
B London, B Huang, L Getoor
International Conference on Machine Learning, 410-418, 2015
72015
Online inference for knowledge graph construction
J Pujara, B London, L Getoor, WW Cohen
Fifth International Workshop on Statistical Relational AI, www …, 2015
62015
Pac-bayes generalization bounds for randomized structured prediction
B London, B Huang, B Taskar, L Getoor
NIPS Workshop on Perturbation, Optimization and Statistics, 2007
52007
Generative adversarial structured networks
B London, AG Schwing
Proc. NIPS Workshop on Adversarial Training, 2016
32016
Multi-relational weighted tensor decomposition
B London, T Rekatsinas, B Huang, L Getoor
NIPS Workshop on Spectral Learning, 2012
22012
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