Private Convex Optimization via Exponential Mechanism

1 March 2022

Papers citing "Private Convex Optimization via Exponential Mechanism"

13 / 13 papers shown

Title
Mixing Time of the Proximal Sampler in Relative Fisher Information via Strong Data Processing Inequality Andre Wibisono 43 1 0 08 Feb 2025
Differentially Private Bilevel Optimization Guy Kornowski 114 0 0 29 Sep 2024
Private Online Learning via Lazy Algorithms Hilal Asi Tomer Koren Daogao Liu Kunal Talwar 95 0 0 05 Jun 2024
Public-data Assisted Private Stochastic Optimization: Power and Limitations Enayat Ullah Michael Menart Raef Bassily Cristóbal Guzmán Raman Arora 30 1 0 06 Mar 2024
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation Aniket Das Dheeraj M. Nagaraj 25 7 0 27 May 2023
Query lower bounds for log-concave sampling Sinho Chewi Jaume de Dios Pont Jerry Li Chen Lu Shyam Narayanan 27 8 0 05 Apr 2023
Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks Arun Ganesh Daogao Liu Sewoong Oh Abhradeep Thakurta ODL 25 12 0 20 Feb 2023
Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler Sivakanth Gopi Y. Lee Daogao Liu Ruoqi Shen Kevin Tian 17 7 0 13 Feb 2023
ReSQueing Parallel and Private Stochastic Convex Optimization Y. Carmon A. Jambulapati Yujia Jin Y. Lee Daogao Liu Aaron Sidford Kevin Tian FedML 6 12 0 01 Jan 2023
Fisher information lower bounds for sampling Sinho Chewi P. Gerber Holden Lee Chen Lu 43 15 0 05 Oct 2022
When Does Differentially Private Learning Not Suffer in High Dimensions? Xuechen Li Daogao Liu Tatsunori Hashimoto Huseyin A. Inan Janardhan Kulkarni Y. Lee Abhradeep Thakurta 25 58 0 01 Jul 2022
Sampling from Log-Concave Distributions over Polytopes via a Soft-Threshold Dikin Walk Oren Mangoubi Nisheeth K. Vishnoi 64 2 0 19 Jun 2022
Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms Aniket Das Dheeraj M. Nagaraj Anant Raj 47 6 0 08 Jun 2022