1 code implementation • NeurIPS 2019 • Zakaria Mhammedi, Peter D. Grunwald, Benjamin Guedj
We present a new PAC-Bayesian generalization bound.
no code implementations • 27 Jul 2014 • Peter D. Grunwald, Joseph Y. Halpern
A criterion known as CAR (coarsening at random) in the statistical literature characterizes when ``naive' conditioning in a naive space works.
no code implementations • 27 Jul 2014 • Peter D. Grunwald, Joseph Y. Halpern
It is commonly-accepted wisdom that more information is better, and that information should never be ignored.
no code implementations • 27 Jul 2014 • Peter D. Grunwald, Joseph Y. Halpern
We consider how an agent should update her uncertainty when it is represented by a set P of probability distributions and the agent observes that a random variable X takes on value x, given that the agent makes decisions using the minimax criterion, perhaps the best-studied and most commonly-used criterion in the literature.
no code implementations • 16 Jan 2014 • Peter D. Grunwald, Joseph Y. Halpern
We consider how an agent should update her beliefs when her beliefs are represented by a set P of probability distributions, given that the agent makes decisions using the minimax criterion, perhaps the best-studied and most commonly-used criterion in the literature.
