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2111.04089
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Sampling from Log-Concave Distributions with Infinity-Distance Guarantees
7 November 2021
Oren Mangoubi
Nisheeth K. Vishnoi
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Papers citing
"Sampling from Log-Concave Distributions with Infinity-Distance Guarantees"
8 / 8 papers shown
Title
Purifying Approximate Differential Privacy with Randomized Post-processing
Yingyu Lin
Erchi Wang
Yi-An Ma
Yu-Xiang Wang
32
0
0
27 Mar 2025
Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy
Yingyu Lin
Yian Ma
Yu-Xiang Wang
Rachel Redberg
Zhiqi Bu
30
4
0
23 Oct 2023
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation
Kristian Georgiev
Samuel B. Hopkins
FedML
33
21
0
01 Nov 2022
Private Matrix Approximation and Geometry of Unitary Orbits
Oren Mangoubi
Yikai Wu
Satyen Kale
Abhradeep Thakurta
Nisheeth K. Vishnoi
15
3
0
06 Jul 2022
Sampling from Log-Concave Distributions over Polytopes via a Soft-Threshold Dikin Walk
Oren Mangoubi
Nisheeth K. Vishnoi
74
2
0
19 Jun 2022
Differentially Private Sampling from Rashomon Sets, and the Universality of Langevin Diffusion for Convex Optimization
Arun Ganesh
Abhradeep Thakurta
Jalaj Upadhyay
26
1
0
04 Apr 2022
Private Convex Optimization via Exponential Mechanism
Sivakanth Gopi
Y. Lee
Daogao Liu
83
52
0
01 Mar 2022
Efficient Mean Estimation with Pure Differential Privacy via a Sum-of-Squares Exponential Mechanism
Samuel B. Hopkins
Gautam Kamath
Mahbod Majid
FedML
30
60
0
25 Nov 2021
1