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CORR
2008
Springer
91views Education» more  CORR 2008»
14 years 10 months ago
Significant Diagnostic Counterexamples in Probabilistic Model Checking
Abstract. This paper presents a novel technique for counterexample generation in probabilistic model checking of Markov chains and Markov Decision Processes. (Finite) paths in coun...
Miguel E. Andrés, Pedro R. D'Argenio, Peter...
ICML
2009
IEEE
15 years 10 months ago
Convex variational Bayesian inference for large scale generalized linear models
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
Hannes Nickisch, Matthias W. Seeger
IDA
2005
Springer
15 years 3 months ago
Combining Bayesian Networks with Higher-Order Data Representations
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
Elias Gyftodimos, Peter A. Flach

Publication
151views
13 years 8 months ago
Robust Bayesian reinforcement learning through tight lower bounds
In the Bayesian approach to sequential decision making, exact calculation of the (subjective) utility is intractable. This extends to most special cases of interest, such as reinfo...
Christos Dimitrakakis
PLDI
2005
ACM
15 years 3 months ago
TraceBack: first fault diagnosis by reconstruction of distributed control flow
Faults that occur in production systems are the most important faults to fix, but most production systems lack the debugging facilities present in development environments. TraceB...
Andrew Ayers, Richard Schooler, Chris Metcalf, Ana...