Jennifer Gillenwater | DeepAI

DeepAI AI Chat

Featured Co-authors

Amin Karbasi
77 publications
Eric Xing
70 publications
Rishabh Iyer
53 publications
Elvis Dohmatob
24 publications
Sergei Vassilvitskii
23 publications
Afshin Rostamizadeh
21 publications
Jeff Bilmes
20 publications
Maruan Al-Shedivat
19 publications
Travis Dick
17 publications
Mike Gartrell
17 publications
Rahul Kidambi
14 publications

∙ 06/01/2023

Better Private Linear Regression Through Better Private Feature Selection

Existing work on differentially private linear regression typically assu...

0 Travis Dick, et al. ∙

∙ 01/28/2022

A Joint Exponential Mechanism For Differentially Private Top-k

We present a differentially private algorithm for releasing the sequence...

0 Jennifer Gillenwater, et al. ∙

∙ 01/27/2022

Plume: Differential Privacy at Scale

Differential privacy has become the standard for private data analysis, ...

0 Kareem Amin, et al. ∙

∙ 01/20/2022

Scalable Sampling for Nonsymmetric Determinantal Point Processes

A determinantal point process (DPP) on a collection of M items is a mode...

0 Insu Han, et al. ∙

∙ 10/29/2021

Combining Public and Private Data

Differential privacy is widely adopted to provide provable privacy guara...

0 Cecilia Ferrando, et al. ∙

∙ 02/16/2021

Differentially Private Quantiles

Quantiles are often used for summarizing and understanding data. If that...

0 Jennifer Gillenwater, et al. ∙

∙ 10/11/2020

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

Federated learning is typically approached as an optimization problem, w...

4 Maruan Al-Shedivat, et al. ∙

∙ 06/17/2020

Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes

Determinantal point processes (DPPs) have attracted significant attentio...

0 Mike Gartrell, et al. ∙

∙ 11/06/2015

Submodular Hamming Metrics

We show that there is a largely unexplored class of functions (positive ...

0 Jennifer Gillenwater, et al. ∙

∙ 11/04/2014

Expectation-Maximization for Learning Determinantal Point Processes

A determinantal point process (DPP) is a probabilistic model of set dive...

0 Jennifer Gillenwater, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world