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Direct Estimation of Information Divergence Using Nearest Neighbor
  Ratios
v1v2 (latest)

Direct Estimation of Information Divergence Using Nearest Neighbor Ratios

17 February 2017
M. Noshad
Kevin R. Moon
Salimeh Yasaei Sekeh
Alfred Hero
ArXiv (abs)PDFHTML

Papers citing "Direct Estimation of Information Divergence Using Nearest Neighbor Ratios"

22 / 22 papers shown
Title
Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding
Fateme Jamshidi
S. Akbari
Negar Kiyavash
CML
90
0
0
10 Mar 2025
Discriminative Estimation of Total Variation Distance: A Fidelity
  Auditor for Generative Data
Discriminative Estimation of Total Variation Distance: A Fidelity Auditor for Generative Data
Lan Tao
Shi Xu
ChiHua Wang
Namjoon Suh
Guang Cheng
81
6
0
24 May 2024
Limit Distribution Theory for Quantum Divergences
Limit Distribution Theory for Quantum Divergences
Sreejith Sreekumar
Mario Berta
65
2
0
22 Nov 2023
A Theoretical Perspective on Subnetwork Contributions to Adversarial
  Robustness
A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness
Jovon Craig
Joshua Andle
Theodore S. Nowak
Salimeh Yasaei Sekeh
AAML
64
0
0
07 Jul 2023
The Representation Jensen-Shannon Divergence
The Representation Jensen-Shannon Divergence
J. Hoyos-Osorio
Santiago Posso-Murillo
L. S. Giraldo
162
8
0
25 May 2023
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making
Shujian Yu
Hongming Li
Sigurd Løkse
Robert Jenssen
José C. Príncipe
BDL
112
6
0
21 Jan 2023
MAUVE Scores for Generative Models: Theory and Practice
MAUVE Scores for Generative Models: Theory and Practice
Krishna Pillutla
Lang Liu
John Thickstun
Sean Welleck
Swabha Swayamdipta
Rowan Zellers
Sewoong Oh
Yejin Choi
Zaïd Harchaoui
EGVM
121
23
0
30 Dec 2022
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on
  Exploration and Performance
Action Noise in Off-Policy Deep Reinforcement Learning: Impact on Exploration and Performance
Jakob J. Hollenstein
Sayantan Auddy
Matteo Saveriano
Erwan Renaudo
J. Piater
86
21
0
08 Jun 2022
The Stanford Drone Dataset is More Complex than We Think: An Analysis of
  Key Characteristics
The Stanford Drone Dataset is More Complex than We Think: An Analysis of Key Characteristics
Joshua Andle
Nicholas Soucy
Simon Socolow
Salimeh Yasaei Sekeh
AI4TS
63
6
0
22 Mar 2022
How do Offline Measures for Exploration in Reinforcement Learning
  behave?
How do Offline Measures for Exploration in Reinforcement Learning behave?
Jakob J. Hollenstein
Sayantan Auddy
Matteo Saveriano
Erwan Renaudo
J. Piater
OffRL
17
2
0
29 Oct 2020
Slimming Neural Networks using Adaptive Connectivity Scores
Slimming Neural Networks using Adaptive Connectivity Scores
Madan Ravi Ganesh
Dawsin Blanchard
Jason J. Corso
Salimeh Yasaei Sekeh
61
11
0
22 Jun 2020
MINT: Deep Network Compression via Mutual Information-based Neuron
  Trimming
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming
Madan Ravi Ganesh
Jason J. Corso
Salimeh Yasaei Sekeh
MQ
104
16
0
18 Mar 2020
Learning to Benchmark: Determining Best Achievable Misclassification
  Error from Training Data
Learning to Benchmark: Determining Best Achievable Misclassification Error from Training Data
M. Noshad
L. Xu
Alfred Hero
33
12
0
16 Sep 2019
Geometric Estimation of Multivariate Dependency
Geometric Estimation of Multivariate Dependency
Salimeh Yasaei Sekeh
Alfred Hero
48
11
0
21 May 2019
Efficient estimation of divergence-based sensitivity indices with
  Gaussian process surrogates
Efficient estimation of divergence-based sensitivity indices with Gaussian process surrogates
A. Eggels
D. Crommelin
43
0
0
08 Apr 2019
Learning to Bound the Multi-class Bayes Error
Learning to Bound the Multi-class Bayes Error
Salimeh Yasaei Sekeh
Brandon Oselio
Alfred Hero
36
17
0
15 Nov 2018
Convergence Rates for Empirical Estimation of Binary Classification
  Bounds
Convergence Rates for Empirical Estimation of Binary Classification Bounds
Salimeh Yasaei Sekeh
M. Noshad
Kevin R. Moon
Alfred Hero
51
8
0
01 Oct 2018
Minimax Estimation of Quadratic Fourier Functionals
Minimax Estimation of Quadratic Fourier Functionals
Shashank Singh
Bharath K. Sriperumbudur
Barnabás Póczós
106
5
0
30 Mar 2018
Quantifying dependencies for sensitivity analysis with multivariate
  input sample data
Quantifying dependencies for sensitivity analysis with multivariate input sample data
A. Eggels
D. Crommelin
67
4
0
06 Feb 2018
Scalable Mutual Information Estimation using Dependence Graphs
Scalable Mutual Information Estimation using Dependence Graphs
M. Noshad
Yu Zeng
Alfred Hero
77
73
0
27 Jan 2018
Rate-optimal Meta Learning of Classification Error
Rate-optimal Meta Learning of Classification Error
M. Iranzad
Alfred Hero
32
5
0
31 Oct 2017
Ensemble Estimation of Generalized Mutual Information with Applications
  to Genomics
Ensemble Estimation of Generalized Mutual Information with Applications to Genomics
Kevin R. Moon
K. Sricharan
Alfred Hero
45
9
0
27 Jan 2017
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