17 citations · 59 across the 7 of their papers we have counts for
7 papers
Signal-based Bayesian Seismic Monitoring
David A. Moore, Stuart J. Russell
Detecting weak seismic events from noisy sensors is a difficult perceptual task. We formulate this task as Bayesian inference and propose a generative model of seismic events and s…
Selecting Computations: Theory and Applications
Nicholas Hay, Stuart Russell, David Tolpin +1
Sequential decision problems are often approximately solvable by simulating possible future action sequences. Metalevel decision procedures have been developed for selecting which…
Graph partition strategies for generalized mean field inference
Eric P. Xing, Michael I. Jordan, Stuart Russell
An autonomous variational inference algorithm for arbitrary graphical models requires the ability to optimize variational approximations over the space of model parameters as well…
Improving Gradient Estimation by Incorporating Sensor Data
Gregory Lawrence, Stuart Russell
An efficient policy search algorithm should estimate the local gradient of the objective function, with respect to the policy parameters, from as few trials as possible. Whereas mo…
RAPID: A Reachable Anytime Planner for Imprecisely-sensed Domains
Emma Brunskill, Stuart Russell
Despite the intractability of generic optimal partially observable Markov decision process planning, there exist important problems that have highly structured models. Previous res…
Gibbs Sampling in Open-Universe Stochastic Languages
Nimar S. Arora, Rodrigo de Salvo Braz, Erik B. Sudderth +1
Languages for open-universe probabilistic models (OUPMs) can represent situations with an unknown number of objects and iden- tity uncertainty. While such cases arise in a wide ran…