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Arimoto-Rényi Conditional Entropy and Bayesian $M$-ary Hypothesis
  Testing
v1v2v3v4v5 (latest)

Arimoto-Rényi Conditional Entropy and Bayesian MMM-ary Hypothesis Testing

8 January 2017
I. Sason
S. Verdú
ArXiv (abs)PDFHTML

Papers citing "Arimoto-Rényi Conditional Entropy and Bayesian $M$-ary Hypothesis Testing"

17 / 17 papers shown
Title
An Information Theoretic Perspective on Conformal Prediction
An Information Theoretic Perspective on Conformal Prediction
Alvaro H.C. Correia
F. V. Massoli
Christos Louizos
Arash Behboodi
76
5
0
03 May 2024
Functional Properties of the Ziv-Zakai bound with Arbitrary Inputs
Functional Properties of the Ziv-Zakai bound with Arbitrary Inputs
Minoh Jeong
Alex Dytso
Martina Cardone
29
2
0
04 May 2023
DeepSE-WF: Unified Security Estimation for Website Fingerprinting
  Defenses
DeepSE-WF: Unified Security Estimation for Website Fingerprinting Defenses
Alexander Veicht
Cédric Renggli
Diogo Barradas
AAML
73
8
0
08 Mar 2022
Minimum Probability of Error of List M-ary Hypothesis Testing
Minimum Probability of Error of List M-ary Hypothesis Testing
Ehsan Asadi Kangarshahi
A. G. Fàbregas
13
0
0
27 Oct 2021
Non-Stochastic Private Function Evaluation
Non-Stochastic Private Function Evaluation
F. Farokhi
G. Nair
55
3
0
20 Oct 2020
On Supervised Classification of Feature Vectors with Independent and
  Non-Identically Distributed Elements
On Supervised Classification of Feature Vectors with Independent and Non-Identically Distributed Elements
Farzad Shahrivari
Nikola Zlatanov
27
1
0
01 Aug 2020
Stopping Criterion Design for Recursive Bayesian Classification:
  Analysis and Decision Geometry
Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry
Aziz Koçanaoğulları
M. Akçakaya
Deniz Erdogmus
16
2
0
30 Jul 2020
Measuring Information Leakage in Non-stochastic Brute-Force Guessing
Measuring Information Leakage in Non-stochastic Brute-Force Guessing
F. Farokhi
Ni Ding
24
10
0
23 Apr 2020
Rényi Entropy Bounds on the Active Learning Cost-Performance
  Tradeoff
Rényi Entropy Bounds on the Active Learning Cost-Performance Tradeoff
V. Jamali
A. Tulino
Jaime Llorca
E. Erkip
49
0
0
05 Feb 2020
A Tunable Loss Function for Robust Classification: Calibration,
  Landscape, and Generalization
A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization
Tyler Sypherd
Mario Díaz
J. Cava
Gautam Dasarathy
Peter Kairouz
Lalitha Sankar
67
29
0
05 Jun 2019
A Scale-invariant Generalization of the Rényi Entropy, Associated
  Divergences and their Optimizations under Tsallis' Nonextensive Framework
A Scale-invariant Generalization of the Rényi Entropy, Associated Divergences and their Optimizations under Tsallis' Nonextensive Framework
A. Ghosh
A. Basu
28
7
0
05 Jan 2019
Simulation of Random Variables under Rényi Divergence Measures of All
  Orders
Simulation of Random Variables under Rényi Divergence Measures of All Orders
Lei Yu
Vincent Y. F. Tan
50
13
0
31 May 2018
Understanding Convolutional Neural Networks with Information Theory: An
  Initial Exploration
Understanding Convolutional Neural Networks with Information Theory: An Initial Exploration
Shujian Yu
Kristoffer Wickstrøm
Robert Jenssen
José C. Príncipe
93
77
0
18 Apr 2018
Generalizing Bottleneck Problems
Generalizing Bottleneck Problems
Hsiang Hsu
S. Asoodeh
Salman Salamatian
Flavio du Pin Calmon
80
38
0
16 Feb 2018
Asymptotic Coupling and Its Applications in Information Theory
Asymptotic Coupling and Its Applications in Information Theory
Lei Yu
Vincent Y. F. Tan
36
15
0
19 Dec 2017
A strong converse bound for multiple hypothesis testing, with
  applications to high-dimensional estimation
A strong converse bound for multiple hypothesis testing, with applications to high-dimensional estimation
R. Venkataramanan
O. Johnson
29
4
0
14 Jun 2017
Analysis of Remaining Uncertainties and Exponents under Various
  Conditional Rényi Entropies
Analysis of Remaining Uncertainties and Exponents under Various Conditional Rényi Entropies
Vincent Y. F. Tan
Masahito Hayashi
37
16
0
31 May 2016
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