Jennifer Gillenwater

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 17

Top Topics

Differential Privacy

Point Processes

Top Venues

Publications

Travis Dick, Jennifer Gillenwater, Matthew Joseph
Better Private Linear Regression Through Better Private Feature Selection. NeurIPS (2023)
Travis Dick, Jennifer Gillenwater, Matthew Joseph
Better Private Linear Regression Through Better Private Feature Selection. CoRR (2023)
Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, Amin Karbasi
Scalable Sampling for Nonsymmetric Determinantal Point Processes. ICLR (2022)
Kareem Amin, Jennifer Gillenwater, Matthew Joseph, Alex Kulesza, Sergei Vassilvitskii
Plume: Differential Privacy at Scale. CoRR (2022)
Jennifer Gillenwater, Matthew Joseph, Andres Muñoz Medina, Mónica Ribero Diaz
A Joint Exponential Mechanism For Differentially Private Top-k. ICML (2022)
Jennifer Gillenwater, Matthew Joseph, Andrés Muñoz Medina, Mónica Ribero
A Joint Exponential Mechanism For Differentially Private Top-k. CoRR (2022)
Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, Amin Karbasi
Scalable Sampling for Nonsymmetric Determinantal Point Processes. CoRR (2022)
Maruan Al-Shedivat, Jennifer Gillenwater, Eric P. Xing, Afshin Rostamizadeh
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms. ICLR (2021)
Jennifer Gillenwater, Matthew Joseph, Alex Kulesza
Differentially Private Quantiles. CoRR (2021)
Jennifer Gillenwater, Matthew Joseph, Alex Kulesza
Differentially Private Quantiles. ICML (2021)
Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes. ICLR (2021)
Cecilia Ferrando, Jennifer Gillenwater, Alex Kulesza
Combining Public and Private Data. CoRR (2021)
Insu Han, Jennifer Gillenwater
MAP Inference for Customized Determinantal Point Processes via Maximum Inner Product Search. AISTATS (2020)
Maruan Al-Shedivat, Jennifer Gillenwater, Eric P. Xing, Afshin Rostamizadeh
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms. CoRR (2020)
Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes. CoRR (2020)
Jennifer Gillenwater, Alex Kulesza, Zelda Mariet, Sergei Vassilvitskii
A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes. ICML (2019)
Mark Wilhelm, Ajith Ramanathan, Alexander Bonomo, Sagar Jain, Ed H. Chi, Jennifer Gillenwater
Practical Diversified Recommendations on YouTube with Determinantal Point Processes. CIKM (2018)
Jennifer Gillenwater, Rishabh K. Iyer, Bethany Lusch, Rahul Kidambi, Jeff A. Bilmes
Submodular Hamming Metrics. NIPS (2015)
Jennifer Gillenwater, Rishabh K. Iyer, Bethany Lusch, Rahul Kidambi, Jeff A. Bilmes
Submodular Hamming Metrics. CoRR (2015)
Jennifer Gillenwater, Alex Kulesza, Emily B. Fox, Benjamin Taskar
Expectation-Maximization for Learning Determinantal Point Processes. NIPS (2014)
Jennifer Gillenwater, Alex Kulesza, Emily B. Fox, Ben Taskar
Expectation-Maximization for Learning Determinantal Point Processes. CoRR (2014)
Jennifer Gillenwater, Xiaodong He, Jianfeng Gao, Li Deng
End-to-end learning of parsing models for information retrieval. ICASSP (2013)
Luheng He, Jennifer Gillenwater, Ben Taskar
Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction. CoNLL (2013)
Jennifer Gillenwater, Alex Kulesza, Ben Taskar
Near-Optimal MAP Inference for Determinantal Point Processes. NIPS (2012)
Jennifer Gillenwater, Alex Kulesza, Ben Taskar
Discovering Diverse and Salient Threads in Document Collections. EMNLP-CoNLL (2012)
Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, Ben Taskar
Posterior Sparsity in Unsupervised Dependency Parsing. J. Mach. Learn. Res. 12 (2011)
Jennifer Gillenwater, Gregory Malecha, Cherif R. Salama, Angela Yun Zhu, Walid Taha, Jim Grundy, John O'Leary
Synthesizable High Level Hardware Descriptions. New Gener. Comput. 28 (4) (2010)
Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, Ben Taskar
Sparsity in Dependency Grammar Induction. ACL (2) (2010)
Kuzman Ganchev, João Graça, Jennifer Gillenwater, Ben Taskar
Posterior Regularization for Structured Latent Variable Models. J. Mach. Learn. Res. 11 (2010)
Kuzman Ganchev, Jennifer Gillenwater, Ben Taskar
Dependency Grammar Induction via Bitext Projection Constraints. ACL/IJCNLP (2009)
Jennifer Gillenwater, Gregory Malecha, Cherif R. Salama, Angela Yun Zhu, Walid Taha, Jim Grundy, John O'Leary
Synthesizable high level hardware descriptions: using statically typed two-level languages to guarantee verilog synthesizability. PEPM (2008)