Jennifer Gillenwater
Jennifer Gillenwater
Google Research NYC
Verified email at google.com - Homepage
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
4582010
Dependency grammar induction via bitext projection constraints
K Ganchev, J Gillenwater, B Taskar
Lab Papers (GRASP), 43, 2009
1452009
Near-optimal map inference for determinantal point processes
J Gillenwater, A Kulesza, B Taskar
Advances in Neural Information Processing Systems, 2735-2743, 2012
972012
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
842012
Expectation-maximization for learning determinantal point processes
JA Gillenwater, A Kulesza, E Fox, B Taskar
Advances in Neural Information Processing Systems, 3149-3157, 2014
662014
Sparsity in dependency grammar induction
J Gillenwater, K Ganchev, JV Graça, F Pereira, B Taskar
492010
Abstraction selection in model-based reinforcement learning
N Jiang, A Kulesza, S Singh
International Conference on Machine Learning, 179-188, 2015
382015
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
362011
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
242018
Approximate inference for determinantal point processes
JA Gillenwater
242014
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
172013
Submodular hamming metrics
JA Gillenwater, RK Iyer, B Lusch, R Kidambi, JA Bilmes
Advances in Neural Information Processing Systems, 3141-3149, 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
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
92014
Sparsity in grammar induction
J Gillenwater, K Ganchev, J Graça, B Taskar, F Pereira
NIPS: Grammar Induction, Representation of Language and Language Learning, 2009
62009
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
52019
Techniques for automatic photo album generation
VIO Roman, JA Gillenwater, R Carceroni, A Subramanya, W Hua, H Fang
US Patent 8,983,193, 2015
42015
Maximization of non-monotone submodular functions
J Gillenwater
42014
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
42013
Synthesizable high level hardware descriptions
J Gillenwater, G Malecha, C Salama, AY Zhu, W Taha, J Grundy, J O’leary
New generation computing 28 (4), 339-369, 2010
42010
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