157 search results - page 1 / 32 » On Bayesian bounds |
TSP
2008
13 years 4 months ago
2008
Minimal bounds on the mean square error (MSE) are generally used in order to predict the best achievable performance of an estimator for a given observation model. In this paper, w...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
We show that several important Bayesian bounds studied in machine learning, both in the batch as well as the online setting, arise by an application of a simple compression lemma....
ICML
2001
IEEE
14 years 5 months ago
2001
IEEE
The Bayesian framework is ideally suited for induction problems. The probability of observing xt at
NIPS
2003
13 years 5 months 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...
NIPS
2004
13 years 5 months ago
2004
We present a competitive analysis of Bayesian learning algorithms in the online learning setting and show that many simple Bayesian algorithms (such as Gaussian linear regression ...