Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
0712.1698
Cited By
PAC-Bayesian Bounds for Randomized Empirical Risk Minimizers
11 December 2007
Pierre Alquier
Re-assign community
ArXiv
PDF
HTML
Papers citing
"PAC-Bayesian Bounds for Randomized Empirical Risk Minimizers"
16 / 16 papers shown
Title
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models
Raeid Saqur
Anastasis Kratsios
Florian Krach
Yannick Limmer
Jacob-Junqi Tian
John Willes
Blanka Horvath
Frank Rudzicz
MoE
45
0
0
24 Feb 2025
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice
Jonas Rothfuss
Martin Josifoski
Vincent Fortuin
Andreas Krause
37
7
0
14 Nov 2022
A General framework for PAC-Bayes Bounds for Meta-Learning
A. Rezazadeh
AI4CE
21
4
0
11 Jun 2022
User-friendly introduction to PAC-Bayes bounds
Pierre Alquier
FedML
51
196
0
21 Oct 2021
Online learning with exponential weights in metric spaces
Q. Paris
24
4
0
26 Mar 2021
Gibbs posterior concentration rates under sub-exponential type losses
Nicholas Syring
Ryan Martin
14
29
0
08 Dec 2020
PAC-Bayes Analysis Beyond the Usual Bounds
Omar Rivasplata
Ilja Kuzborskij
Csaba Szepesvári
John Shawe-Taylor
30
80
0
23 Jun 2020
PAC-Bayesian AUC classification and scoring
James Ridgway
Pierre Alquier
Nicolas Chopin
Feng Liang
35
21
0
07 Oct 2014
A General Framework for Updating Belief Distributions
Pier Giovanni Bissiri
Chris Holmes
S. Walker
46
466
0
27 Jun 2013
Prediction of quantiles by statistical learning and application to GDP forecasting
Pierre Alquier
Xiaoyin Li
AI4TS
57
14
0
20 Feb 2012
PAC-Bayesian aggregation and multi-armed bandits
Jean-Yves Audibert
98
21
0
15 Nov 2010
Linear regression through PAC-Bayesian truncation
Jean-Yves Audibert
O. Catoni
70
16
0
01 Oct 2010
Mirror averaging with sparsity priors
A. Dalalyan
Alexandre B. Tsybakov
102
59
0
05 Mar 2010
Sparse Regression Learning by Aggregation and Langevin Monte-Carlo
A. Dalalyan
Alexandre B. Tsybakov
101
178
0
06 Mar 2009
Model selection for weakly dependent time series forecasting
Pierre Alquier
Olivier Wintenberger
OOD
AI4TS
73
80
0
17 Feb 2009
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
148
453
0
03 Dec 2007
1