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A scaling law from discrete to continuous solutions of channel capacity
  problems in the low-noise limit
v1v2 (latest)

A scaling law from discrete to continuous solutions of channel capacity problems in the low-noise limit

25 October 2017
Michael C. Abbott
B. Machta
ArXiv (abs)PDFHTML

Papers citing "A scaling law from discrete to continuous solutions of channel capacity problems in the low-noise limit"

2 / 2 papers shown
Title
Universal Batch Learning Under The Misspecification Setting
Universal Batch Learning Under The Misspecification Setting
Shlomi Vituri
Meir Feder
27
0
0
12 May 2024
Deep Reference Priors: What is the best way to pretrain a model?
Deep Reference Priors: What is the best way to pretrain a model?
Yansong Gao
Rahul Ramesh
Pratik Chaudhari
BDL
47
5
0
01 Feb 2022
1