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Empirically Estimable Classification Bounds Based on a New Divergence
  Measure
v1v2 (latest)

Empirically Estimable Classification Bounds Based on a New Divergence Measure

19 December 2014
Visar Berisha
A. Wisler
Alfred Hero
A. Spanias
ArXiv (abs)PDFHTML

Papers citing "Empirically Estimable Classification Bounds Based on a New Divergence Measure"

14 / 14 papers shown
Title
Bayes Error Rate Estimation in Difficult Situations
Bayes Error Rate Estimation in Difficult Situations
Lesley Wheat
Martin v. Mohrenschildt
Saeid Habibi
18
0
0
21 May 2025
Is the Performance of My Deep Network Too Good to Be True? A Direct
  Approach to Estimating the Bayes Error in Binary Classification
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
Takashi Ishida
Ikko Yamane
Nontawat Charoenphakdee
Gang Niu
Masashi Sugiyama
BDLUQCV
69
18
0
01 Feb 2022
Evaluating State-of-the-Art Classification Models Against Bayes
  Optimality
Evaluating State-of-the-Art Classification Models Against Bayes Optimality
Ryan Theisen
Huan Wang
Lav Varshney
Caiming Xiong
R. Socher
54
12
0
07 Jun 2021
Optimal Transport-based Adaptation in Dysarthric Speech Tasks
Optimal Transport-based Adaptation in Dysarthric Speech Tasks
Rosanna Turrisi
Leonardo Badino
OT
41
0
0
06 Apr 2021
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
Regularization via Structural Label Smoothing
Regularization via Structural Label Smoothing
Weizhi Li
Gautam Dasarathy
Visar Berisha
UQCV
67
51
0
07 Jan 2020
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using
  Mismatched Hypothesis Testing
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing
Sanghamitra Dutta
Dennis L. Wei
Hazar Yueksel
Pin-Yu Chen
Sijia Liu
Kush R. Varshney
FaML
67
11
0
17 Oct 2019
ZeroER: Entity Resolution using Zero Labeled Examples
ZeroER: Entity Resolution using Zero Labeled Examples
Renzhi Wu
Sanya Chaba
Saurabh Sawlani
Xu Chu
Saravanan Thirumuruganathan
92
94
0
16 Aug 2019
Characterizing Inter-Layer Functional Mappings of Deep Learning Models
Characterizing Inter-Layer Functional Mappings of Deep Learning Models
D. Waagen
Katie Rainey
Jamie Gantert
David Gray
Megan King
M. S. Thompson
Jonathan Barton
Will Waldron
S. Livingston
D. Hulsey
25
5
0
09 Jul 2019
Support and Invertibility in Domain-Invariant Representations
Support and Invertibility in Domain-Invariant Representations
Fredrik D. Johansson
David Sontag
Rajesh Ranganath
89
164
0
08 Mar 2019
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
57
8
0
01 Oct 2018
Topological Data Analysis of Decision Boundaries with Application to
  Model Selection
Topological Data Analysis of Decision Boundaries with Application to Model Selection
Karthikeyan N. Ramamurthy
Kush R. Varshney
Krishnan Mody
57
40
0
25 May 2018
Fast Meta-Learning for Adaptive Hierarchical Classifier Design
Fast Meta-Learning for Adaptive Hierarchical Classifier Design
G. V. D. Burg
Alfred Hero
26
2
0
09 Nov 2017
The intrinsic value of HFO features as a biomarker of epileptic activity
The intrinsic value of HFO features as a biomarker of epileptic activity
S. Gliske
Kevin R. Moon
W. Stacey
Alfred Hero
23
14
0
13 Oct 2015
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