Differentially Private Regression with Unbounded Covariates

19 February 2022

Papers citing "Differentially Private Regression with Unbounded Covariates"

20 / 20 papers shown

Title
Distributed Differentially Private Data Analytics via Secure Sketching Jakob Burkhardt Hannah Keller Claudio Orlandi Chris Schwiegelshohn FedML 131 0 0 30 Nov 2024
PRIMO: Private Regression in Multiple Outcomes Seth Neel 57 0 0 07 Mar 2023
Private Robust Estimation by Stabilizing Convex Relaxations Pravesh Kothari Pasin Manurangsi A. Velingker 57 47 0 07 Dec 2021
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation Gavin Brown Marco Gaboardi Adam D. Smith Jonathan R. Ullman Lydia Zakynthinou FedML 65 50 0 24 Jun 2021
On the Sample Complexity of Rank Regression from Pairwise Comparisons Berkan Kadıoğlu Peng Tian Jennifer Dy Deniz Erdogmus Stratis Ioannidis 44 2 0 04 May 2021
Robust and Differentially Private Mean Estimation Xiyang Liu Weihao Kong Sham Kakade Sewoong Oh OOD FedML 76 76 0 18 Feb 2021
The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds T. Tony Cai Yichen Wang Linjun Zhang FedML 55 21 0 08 Nov 2020
Differentially Private Bayesian Inference for Generalized Linear Models Tejas D. Kulkarni Hibiki Ito A. Koskela Samuel Kaski Antti Honkela 76 31 0 01 Nov 2020
On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians Ishaq Aden-Ali H. Ashtiani Gautam Kamath 113 43 0 19 Oct 2020
Differentially Private Simple Linear Regression Daniel Alabi Audra McMillan Jayshree Sarathy Adam D. Smith Salil P. Vadhan 49 54 0 10 Jul 2020
CoinPress: Practical Private Mean and Covariance Estimation Sourav Biswas Yihe Dong Gautam Kamath Jonathan R. Ullman 63 116 0 11 Jun 2020
Private Stochastic Convex Optimization: Optimal Rates in Linear Time Vitaly Feldman Tomer Koren Kunal Talwar 63 209 0 10 May 2020
More Data Can Hurt for Linear Regression: Sample-wise Double Descent Preetum Nakkiran 50 68 0 16 Dec 2019
A Model of Double Descent for High-dimensional Binary Linear Classification Zeyu Deng A. Kammoun Christos Thrampoulidis 85 146 0 13 Nov 2019
Differentially Private Bayesian Linear Regression G. Bernstein Daniel Sheldon 68 58 0 29 Oct 2019
Private Stochastic Convex Optimization with Optimal Rates Raef Bassily Vitaly Feldman Kunal Talwar Abhradeep Thakurta 78 242 0 27 Aug 2019
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 90 151 0 01 May 2018
Finite Sample Differentially Private Confidence Intervals Vishesh Karwa Salil P. Vadhan 60 194 0 10 Nov 2017
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 216 6,130 0 01 Jul 2016
Learning Mixtures of Linear Classifiers Yuekai Sun Stratis Ioannidis Andrea Montanari 72 22 0 11 Nov 2013