Sciweavers

UAI
2008
13 years 11 months ago
Causal discovery of linear acyclic models with arbitrary distributions
An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...
Patrik O. Hoyer, Aapo Hyvärinen, Richard Sche...
UAI
2008
13 years 11 months ago
Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression
We propose a variable decomposition algorithm
Liefeng Bo, Cristian Sminchisescu
UAI
2008
13 years 11 months ago
Clique Matrices for Statistical Graph Decomposition and Parameterising Restricted Positive Definite Matrices
We introduce Clique Matrices as an alternative representation of undirected graphs, being a generalisation of the incidence matrix representation. Here we use clique matrices to d...
David Barber
UAI
2008
13 years 11 months ago
Learning When to Take Advice: A Statistical Test for Achieving A Correlated Equilibrium
We study a multiagent learning problem where agents can either learn via repeated interactions, or can follow the advice of a mediator who suggests possible actions to take. We pr...
Greg Hines, Kate Larson
UAI
2008
13 years 11 months ago
Explanation Trees for Causal Bayesian Networks
Bayesian networks can be used to extract explanations about the observed state of a subset of variables. In this paper, we explicate the desiderata of an explanation and confront ...
Ulf H. Nielsen, Jean-Philippe Pellet, André...
UAI
2008
13 years 11 months ago
Cumulative distribution networks and the derivative-sum-product algorithm
We introduce a new type of graphical model called a `cumulative distribution network' (CDN), which expresses a joint cumulative distribution as a product of local functions. ...
Jim C. Huang, Brendan J. Frey
UAI
2008
13 years 11 months ago
Bounding Search Space Size via (Hyper)tree Decompositions
This paper develops a measure for bounding the performance of AND/OR search algorithms for solving a variety of queries over graphical models. We show how drawing a connection to ...
Lars Otten, Rina Dechter
UAI
2008
13 years 11 months ago
Flexible Priors for Exemplar-based Clustering
Exemplar-based clustering methods have been shown to produce state-of-the-art results on a number of synthetic and real-world clustering problems. They are appealing because they ...
Daniel Tarlow, Richard S. Zemel, Brendan J. Frey