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Some Notes on the Sample Complexity of Approximate Channel Simulation
v1v2 (latest)

Some Notes on the Sample Complexity of Approximate Channel Simulation

7 May 2024
Gergely Flamich
Lennie Wells
ArXiv (abs)PDFHTML

Papers citing "Some Notes on the Sample Complexity of Approximate Channel Simulation"

6 / 6 papers shown
Title
Lossy Compression with Gaussian Diffusion
Lossy Compression with Gaussian Diffusion
Lucas Theis
Tim Salimans
Matthew D. Hoffman
Fabian Mentzer
DiffM
83
80
0
17 Jun 2022
Optimal Compression of Locally Differentially Private Mechanisms
Optimal Compression of Locally Differentially Private Mechanisms
Abhin Shah
Wei-Ning Chen
Johannes Ballé
Peter Kairouz
Lucas Theis
67
42
0
29 Oct 2021
On the advantages of stochastic encoders
On the advantages of stochastic encoders
Lucas Theis
E. Agustsson
82
46
0
18 Feb 2021
Minimal Random Code Learning: Getting Bits Back from Compressed Model
  Parameters
Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters
Marton Havasi
Robert Peharz
José Miguel Hernández-Lobato
68
82
0
30 Sep 2018
The Perception-Distortion Tradeoff
The Perception-Distortion Tradeoff
Yochai Blau
T. Michaeli
SupR
126
815
0
16 Nov 2017
The sample size required in importance sampling
The sample size required in importance sampling
S. Chatterjee
P. Diaconis
116
191
0
04 Nov 2015
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