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UAI
2003
13 years 11 months ago
Markov Random Walk Representations with Continuous Distributions
We propose a framework to extend Markov random walks (Szummer and Jaakkola, 2001) to a continuum of points. In this framework, the transition probability between two points is the...
Chen-Hsiang Yeang, Martin Szummer
UAI
2001
13 years 11 months ago
Instrumentality Tests Revisited
An instrument is a random variable that is uncorrelated with certain (unobserved) error terms and, thus, allows the identification of structural parameters in linear models. In no...
Blai Bonet
UAI
2001
13 years 11 months ago
Learning the Dimensionality of Hidden Variables
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. Dete...
Gal Elidan, Nir Friedman
UAI
2001
13 years 11 months ago
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning
There exist a number of reinforcement learning algorithms which learn by climbing the gradient of expected reward. Their long-run convergence has been proved, even in partially ob...
Lex Weaver, Nigel Tao
UAI
2001
13 years 11 months ago
A Calculus for Causal Relevance
We present a sound and complete calculus for causal relevance that uses Pearl's functional causal models as semantics. The calculus consists of axioms and rules of inference ...
Blai Bonet