Jennifer Gillenwater

31 papers A* 7A 2B 1C 1Misc 1Journal 13Unranked 6
YearRankTypeTitle / Venue / Authors
2023 A* conf
Better Private Linear Regression Through Better Private Feature Selection.
NeurIPS
Travis Dick, Jennifer Gillenwater, Matthew Joseph
2023 J jnl
Better Private Linear Regression Through Better Private Feature Selection.
CoRR
Travis Dick, Jennifer Gillenwater, Matthew Joseph
2022 A* conf
A Joint Exponential Mechanism For Differentially Private Top-k.
ICML
Jennifer Gillenwater, Matthew Joseph, Andres Muñoz Medina, Mónica Ribero Diaz
2022 J jnl
A Joint Exponential Mechanism For Differentially Private Top-k.
CoRR
Jennifer Gillenwater, Matthew Joseph, Andrés Muñoz Medina, Mónica Ribero
2022 J jnl
Plume: Differential Privacy at Scale.
CoRR
Kareem Amin, Jennifer Gillenwater, Matthew Joseph, Alex Kulesza, Sergei Vassilvitskii
2022 A* conf
Scalable Sampling for Nonsymmetric Determinantal Point Processes.
ICLR
Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, Amin Karbasi
2022 J jnl
Scalable Sampling for Nonsymmetric Determinantal Point Processes.
CoRR
Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, Amin Karbasi
2021 J jnl
Combining Public and Private Data.
CoRR
Cecilia Ferrando, Jennifer Gillenwater, Alex Kulesza
2021 A* conf
Differentially Private Quantiles.
ICML
Jennifer Gillenwater, Matthew Joseph, Alex Kulesza
2021 J jnl
Differentially Private Quantiles.
CoRR
Jennifer Gillenwater, Matthew Joseph, Alex Kulesza
2021 A* conf
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms.
ICLR
Maruan Al-Shedivat, Jennifer Gillenwater, Eric P. Xing, Afshin Rostamizadeh
2021 A* conf
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes.
ICLR
Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel
2020 J jnl
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms.
CoRR
Maruan Al-Shedivat, Jennifer Gillenwater, Eric P. Xing, Afshin Rostamizadeh
2020 A conf
MAP Inference for Customized Determinantal Point Processes via Maximum Inner Product Search.
AISTATS
Insu Han, Jennifer Gillenwater
2020 J jnl
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes.
CoRR
Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel
2019 A* conf
A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes.
ICML
Jennifer Gillenwater, Alex Kulesza, Zelda Mariet, Sergei Vassilvitskii
2018 A conf
Practical Diversified Recommendations on YouTube with Determinantal Point Processes.
CIKM
Mark Wilhelm, Ajith Ramanathan, Alexander Bonomo, Sagar Jain, Ed H. Chi, Jennifer Gillenwater
2015 — conf
Submodular Hamming Metrics.
NIPS
Jennifer Gillenwater, Rishabh K. Iyer, Bethany Lusch, Rahul Kidambi, Jeff A. Bilmes
2015 J jnl
Submodular Hamming Metrics.
CoRR
Jennifer Gillenwater, Rishabh K. Iyer, Bethany Lusch, Rahul Kidambi, Jeff A. Bilmes
2014 — conf
Expectation-Maximization for Learning Determinantal Point Processes.
NIPS
Jennifer Gillenwater, Alex Kulesza, Emily B. Fox, Benjamin Taskar
2014 J jnl
Expectation-Maximization for Learning Determinantal Point Processes.
CoRR
Jennifer Gillenwater, Alex Kulesza, Emily B. Fox, Ben Taskar
2013 Misc conf
End-to-end learning of parsing models for information retrieval.
ICASSP
Jennifer Gillenwater, Xiaodong He, Jianfeng Gao, Li Deng
2013 B conf
Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction.
CoNLL
Luheng He, Jennifer Gillenwater, Ben Taskar
2012 — conf
Discovering Diverse and Salient Threads in Document Collections.
EMNLP-CoNLL
Jennifer Gillenwater, Alex Kulesza, Ben Taskar
2012 — conf
Near-Optimal MAP Inference for Determinantal Point Processes.
NIPS
Jennifer Gillenwater, Alex Kulesza, Ben Taskar
2011 J jnl
Posterior Sparsity in Unsupervised Dependency Parsing.
J. Mach. Learn. Res.
Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, Ben Taskar
2010 J jnl
Posterior Regularization for Structured Latent Variable Models.
J. Mach. Learn. Res.
Kuzman Ganchev, João Graça, Jennifer Gillenwater, Ben Taskar
2010 — conf
Sparsity in Dependency Grammar Induction.
ACL (2)
Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, Ben Taskar
2010 J jnl
Synthesizable High Level Hardware Descriptions.
New Gener. Comput.
Jennifer Gillenwater, Gregory Malecha, Cherif R. Salama, Angela Yun Zhu, Walid Taha, Jim Grundy, John O'Leary
2009 — conf
Dependency Grammar Induction via Bitext Projection Constraints.
ACL/IJCNLP
Kuzman Ganchev, Jennifer Gillenwater, Ben Taskar
2008 C conf
Synthesizable high level hardware descriptions: using statically typed two-level languages to guarantee verilog synthesizability.
PEPM
Jennifer Gillenwater, Gregory Malecha, Cherif R. Salama, Angela Yun Zhu, Walid Taha, Jim Grundy, John O'Leary