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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"

12 / 12 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
149
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
45
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
52
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
79
4
0
26 Apr 2024
Multiclass learnability and the ERM principle
Multiclass learnability and the ERM principle
Amit Daniely
Sivan Sabato
Shai Ben-David
Shai Shalev-Shwartz
84
149
0
13 Aug 2013
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
PAC-Bayesian Policy Evaluation for Reinforcement Learning
PAC-Bayesian Policy Evaluation for Reinforcement Learning
M. M. Fard
Joelle Pineau
Csaba Szepesvári
OffRL
50
16
0
14 Feb 2012
PAC-Bayesian Inequalities for Martingales
PAC-Bayesian Inequalities for Martingales
Yevgeny Seldin
François Laviolette
Nicolò Cesa-Bianchi
John Shawe-Taylor
P. Auer
57
127
0
31 Oct 2011
Explicit Learning Curves for Transduction and Application to Clustering
  and Compression Algorithms
Explicit Learning Curves for Transduction and Application to Clustering and Compression Algorithms
Philip Derbeko
Ran El-Yaniv
Ron Meir
43
73
0
30 Jun 2011
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and
  Stationary $β$-Mixing Processes
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary βββ-Mixing Processes
L. Ralaivola
Marie Szafranski
G. Stempfel
109
81
0
10 Sep 2009
Boosting through Optimization of Margin Distributions
Boosting through Optimization of Margin Distributions
Chunhua Shen
Hanxi Li
58
63
0
14 Apr 2009
Pac-Bayesian Supervised Classification: The Thermodynamics of
  Statistical Learning
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
232
458
0
03 Dec 2007
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