37 search results - page 1 / 8 » Learning Bounds for a Generalized Family of Bayesian Posteri... |
76
Voted
NIPS
2003
15 years 8 days ago
2003
In this paper we obtain convergence bounds for the concentration of Bayesian posterior distributions (around the true distribution) using a novel method that simplifies and enhan...
101
Voted
ML
2012
ACM
13 years 6 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
94
Voted
ECML
2007
Springer
15 years 5 months ago
2007
Springer
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
100
Voted
UAI
2004
15 years 8 days ago
2004
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
84
Voted
COLT
2004
Springer
15 years 2 months ago
2004
Springer
We show that forms of Bayesian and MDL inference that are often applied to classification problems can be inconsistent. This means that there exists a learning problem such that fo...