Jennifer Gillenwater
Jennifer Gillenwater
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Title
Cited by
Cited by
Year
Posterior regularization for structured latent variable models
K Ganchev, J Graça, J Gillenwater, B Taskar
The Journal of Machine Learning Research 11, 2001-2049, 2010
5272010
Dependency grammar induction via bitext projection constraints
K Ganchev, J Gillenwater, B Taskar
Lab Papers (GRASP), 43, 2009
1472009
Near-optimal map inference for determinantal point processes
J Gillenwater, A Kulesza, B Taskar
Advances in Neural Information Processing Systems, 2744-2752, 2012
1172012
Discovering diverse and salient threads in document collections
J Gillenwater, A Kulesza, B Taskar
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012
932012
Expectation-maximization for learning determinantal point processes
JA Gillenwater, A Kulesza, E Fox, B Taskar
Advances in Neural Information Processing Systems 27, 3149-3157, 2014
862014
Sparsity in dependency grammar induction
J Gillenwater, K Ganchev, JV Graça, F Pereira, B Taskar
522010
Practical diversified recommendations on youtube with determinantal point processes
M Wilhelm, A Ramanathan, A Bonomo, S Jain, EH Chi, J Gillenwater
Proceedings of the 27th ACM International Conference on Information and …, 2018
492018
Abstraction selection in model-based reinforcement learning
N Jiang, A Kulesza, S Singh
International Conference on Machine Learning, 179-188, 2015
492015
Posterior sparsity in unsupervised dependency parsing
J Gillenwater, K Ganchev, J Graça, F Pereira, B Taskar
The Journal of Machine Learning Research 12, 455-490, 2011
382011
Approximate inference for determinantal point processes
J Gillenwater
University of Pennsylvania, 2014
312014
Graph-based posterior regularization for semi-supervised structured prediction
L He, J Gillenwater, B Taskar
Proceedings of the Seventeenth Conference on Computational Natural Language …, 2013
182013
Submodular hamming metrics
J Gillenwater, R Iyer, B Lusch, R Kidambi, J Bilmes
arXiv preprint arXiv:1511.02163, 2015
162015
Synthesizable high level hardware descriptions: using statically typed two-level languages to guarantee verilog synthesizability
J Gillenwater, G Malecha, C Salama, AY Zhu, W Taha, J Grundy, ...
Proceedings of the 2008 ACM SIGPLAN symposium on Partial evaluation and …, 2008
162008
A tree-based method for fast repeated sampling of determinantal point processes
J Gillenwater, A Kulesza, Z Mariet, S Vassilvtiskii
International Conference on Machine Learning, 2260-2268, 2019
112019
System and method for audio snippet generation from a subset of music tracks
A Subramanya, J Gillenwater, G Griffin, F Pereira, D Eck
US Patent 8,666,749, 2014
102014
Maximizing induced cardinality under a determinantal point process
J Gillenwater, A Kulesza, Z Mariet, S Vassilvitskii
Proceedings of the 32nd International Conference on Neural Information …, 2018
82018
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
M Al-Shedivat, J Gillenwater, E Xing, A Rostamizadeh
arXiv preprint arXiv:2010.05273, 2020
72020
Training parsers to approximately optimize NDCG
X He, J Gao, J Gillenwater
US Patent 8,473,486, 2013
72013
Techniques for automatic photo album generation
VIO Roman, JA Gillenwater, R Carceroni, A Subramanya, W Hua, H Fang
US Patent 8,983,193, 2015
62015
End-to-end learning of parsing models for information retrieval
J Gillenwater, X He, J Gao, L Deng
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
62013
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