Jennifer Gillenwater

Research Scientist, Google

Joined

July 2019

Names

Jennifer A. Gillenwater

Emails

****@gmail.com (Confirmed)

****@google.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Research Scientist

Google (google.com)

2016 – Present

Advisors, Relations & Conflicts

Coauthor

Mike Gartrell

2019 – 2021

Coauthor

Insu Han

2019 – 2021

Elvis

Dohmatob

2019 – 2021

Victor-Emmanuel

Brunel

2019 – 2020

Expertise

differential privacy

Present

determinantal point processes

Present

Publications

Scalable Sampling for Nonsymmetric Determinantal Point Processes
Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, amin karbasi
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Spotlight
- Readers: Everyone
A Joint Exponential Mechanism for Differentially Private Top-k Set
Andres Munoz medina, Matthew Joseph, Jennifer Gillenwater, Mónica Ribero
- Published: 04 Nov 2021, Last Modified: 15 May 2023
- PRIML 2021 Poster
- Readers: Everyone
Combining Public and Private Data
Cecilia Ferrando, Jennifer Gillenwater, Alex Kulesza
- Published: 04 Nov 2021, Last Modified: 15 May 2023
- PRIML 2021 Poster
- Readers: Everyone
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
Maruan Al-Shedivat, Jennifer Gillenwater, Eric Xing, Afshin Rostamizadeh
- Published: 12 Jan 2021, Last Modified: 12 Oct 2025
- ICLR 2021 Poster
- Readers: Everyone
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes
Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel
- Published: 12 Jan 2021, Last Modified: 12 Oct 2025
- ICLR 2021 Oral
- Readers: Everyone
A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes
Jennifer Gillenwater, Alex Kulesza, Zelda Mariet, Sergei Vassilvitskii
- 2019 (modified: 11 Nov 2022)
- ICML 2019
- Readers: Everyone
Maximizing Induced Cardinality Under a Determinantal Point Process
Jennifer A. Gillenwater, Alex Kulesza, Sergei Vassilvitskii, Zelda E. Mariet
- 2018 (modified: 11 Nov 2022)
- NeurIPS 2018
- Readers: Everyone
Submodular Hamming Metrics
Jennifer Gillenwater, Rishabh K. Iyer, Bethany Lusch, Rahul Kidambi, Jeff A. Bilmes
- 2015 (modified: 11 Nov 2022)
- NIPS 2015
- Readers: Everyone
Expectation-Maximization for Learning Determinantal Point Processes
Jennifer Gillenwater, Alex Kulesza, Emily B. Fox, Benjamin Taskar
- 2014 (modified: 11 Nov 2022)
- NIPS 2014
- Readers: Everyone
Near-Optimal MAP Inference for Determinantal Point Processes
Jennifer Gillenwater, Alex Kulesza, Ben Taskar
- 2012 (modified: 11 Nov 2022)
- NIPS 2012
- Readers: Everyone

View all 13 publications

Jennifer Gillenwater

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Co-Authors