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Jennifer Gillenwater

Affiliations:

University of Washington, Department of Electrical Engineering
University of Pennsylvania, Computer and Information Science

According to our database¹, Jennifer Gillenwater authored at least 24 papers between 2008 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

On csauthors.net:

Bibliography

2023

Better Private Linear Regression Through Better Private Feature Selection.

[BibT_eX]

[DOI]

,

Jennifer Gillenwater

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Plume: Differential Privacy at Scale.

[BibT_eX]

[DOI]

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Jennifer Gillenwater

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,

,

Sergei Vassilvitskii

CoRR, 2022

A Joint Exponential Mechanism For Differentially Private Top-k.

[BibT_eX]

[DOI]

Jennifer Gillenwater

,

,

Andres Muñoz Medina

,

Mónica Ribero Diaz

Proceedings of the International Conference on Machine Learning, 2022

Scalable Sampling for Nonsymmetric Determinantal Point Processes.

[BibT_eX]

[DOI]

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,

Jennifer Gillenwater

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,

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Combining Public and Private Data.

[BibT_eX]

[DOI]

Cecilia Ferrando

,

Jennifer Gillenwater

,

CoRR, 2021

Differentially Private Quantiles.

[BibT_eX]

[DOI]

Jennifer Gillenwater

,

,

Proceedings of the 38th International Conference on Machine Learning, 2021

Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes.

[BibT_eX]

[DOI]

,

,

,

Jennifer Gillenwater

,

Victor-Emmanuel Brunel

Proceedings of the 9th International Conference on Learning Representations, 2021

Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms.

[BibT_eX]

[DOI]

Maruan Al-Shedivat

,

Jennifer Gillenwater

,

,

Afshin Rostamizadeh

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

MAP Inference for Customized Determinantal Point Processes via Maximum Inner Product Search.

[BibT_eX]

[DOI]

,

Jennifer Gillenwater

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes.

[BibT_eX]

[DOI]

Jennifer Gillenwater

,

,

,

Sergei Vassilvitskii

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Maximizing Induced Cardinality Under a Determinantal Point Process.

[BibT_eX]

[DOI]

Jennifer A. Gillenwater

,

,

Sergei Vassilvitskii

,

Zelda E. Mariet

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Practical Diversified Recommendations on YouTube with Determinantal Point Processes.

[BibT_eX]

[DOI]

,

Ajith Ramanathan

,

Alexander Bonomo

,

,

,

Jennifer Gillenwater

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2015

Submodular Hamming Metrics.

[BibT_eX]

[DOI]

Jennifer Gillenwater

,

Rishabh K. Iyer

,

,

,

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Expectation-Maximization for Learning Determinantal Point Processes.

[BibT_eX]

[DOI]

Jennifer Gillenwater

,

,

,

Benjamin Taskar

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

End-to-end learning of parsing models for information retrieval.

[BibT_eX]

[DOI]

Jennifer Gillenwater

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,

,

Proceedings of the IEEE International Conference on Acoustics, 2013

Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction.

[BibT_eX]

[DOI]

,

Jennifer Gillenwater

,

Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013

2012

Near-Optimal MAP Inference for Determinantal Point Processes.

[BibT_eX]

[DOI]

Jennifer Gillenwater

,

,

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Discovering Diverse and Salient Threads in Document Collections.

[BibT_eX]

[DOI]

Jennifer Gillenwater

,

,

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011

Posterior Sparsity in Unsupervised Dependency Parsing.

[BibT_eX]

[DOI]

Jennifer Gillenwater

,

,

,

Fernando Pereira

,

J. Mach. Learn. Res., 2011

2010

Synthesizable High Level Hardware Descriptions.

[BibT_eX]

[DOI]

Jennifer Gillenwater

,

Gregory Malecha

,

Cherif R. Salama

,

,

,

,

New Gener. Comput., 2010

Posterior Regularization for Structured Latent Variable Models.

[BibT_eX]

[DOI]

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,

Jennifer Gillenwater

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J. Mach. Learn. Res., 2010

Sparsity in Dependency Grammar Induction.

[BibT_eX]

[DOI]

Jennifer Gillenwater

,

,

,

Fernando Pereira

,

Proceedings of the ACL 2010, 2010

2009

Dependency Grammar Induction via Bitext Projection Constraints.

[BibT_eX]

[DOI]

,

Jennifer Gillenwater

,

Proceedings of the ACL 2009, 2009

2008

Synthesizable high level hardware descriptions: using statically typed two-level languages to guarantee verilog synthesizability.

[BibT_eX]

[DOI]

Jennifer Gillenwater

,

Gregory Malecha

,

Cherif R. Salama

,

,

,

,

Proceedings of the 2008 ACM SIGPLAN Symposium on Partial Evaluation and Semantics-based Program Manipulation, 2008

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