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Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a
  Learning Algorithm

Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm

28 March 2015
Pascal Germain
A. Lacasse
François Laviolette
M. Marchand
Jean-Francis Roy
ArXivPDFHTML

Papers citing "Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm"

5 / 5 papers shown
Title
Enhancing Robust Fairness via Confusional Spectral Regularization
Enhancing Robust Fairness via Confusional Spectral Regularization
Gaojie Jin
Sihao Wu
Jiaxu Liu
Tianjin Huang
Ronghui Mu
145
1
0
22 Jan 2025
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds
Mehdi Hennequin
Abdelkrim Zitouni
K. Benabdeslem
H. Elghazel
Yacine Gaci
43
0
0
09 Nov 2024
Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses
Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses
Mathieu Bazinet
Valentina Zantedeschi
Pascal Germain
MLT
AI4CE
45
2
0
26 Sep 2024
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
Benjamin Dupuis
Paul Viallard
George Deligiannidis
Umut Simsekli
77
3
0
26 Apr 2024
A PAC-Bayesian Tutorial with A Dropout Bound
A PAC-Bayesian Tutorial with A Dropout Bound
David A. McAllester
55
140
0
08 Jul 2013
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