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Hypertree decompositions: Questions and answers
In the database context, the hypertree decomposition method is used for query optimization,
whereby conjunctive queries having a low degree of cyclicity can be recognized and …
whereby conjunctive queries having a low degree of cyclicity can be recognized and …
Incremental clustering and expansion for faster optimal planning in Dec-POMDPs
This article presents the state-of-the-art in optimal solution methods for decentralized
partially observable Markov decision processes (Dec-POMDPs), which are general models …
partially observable Markov decision processes (Dec-POMDPs), which are general models …
A system for exact and approximate genetic linkage analysis of SNP data in large pedigrees
Motivation: The use of dense single nucleotide polymorphism (SNP) data in genetic linkage
analysis of large pedigrees is impeded by significant technical, methodological and …
analysis of large pedigrees is impeded by significant technical, methodological and …
On K* search for top-k planning
Finding multiple high-quality plans is essential in many planning applications, and top-k
planning asks for finding the k best plans, naturally extending cost-optimal classical …
planning asks for finding the k best plans, naturally extending cost-optimal classical …
-best enumeration
D Eppstein - arxiv preprint arxiv:1412.5075, 2014 - arxiv.org
arxiv:1412.5075v1 [cs.DS] 16 Dec 2014 Page 1 arxiv:1412.5075v1 [cs.DS] 16 Dec 2014 K-Best
Enumeration David Eppstein∗ Abstract We survey k-best enumeration problems and the …
Enumeration David Eppstein∗ Abstract We survey k-best enumeration problems and the …
Statistical and computational trade-off in multi-agent multi-armed bandits
We study the problem of regret minimization in Multi-Agent Multi-Armed Bandits (MAMABs)
where the rewards are defined through a factor graph. We derive an instance-specific regret …
where the rewards are defined through a factor graph. We derive an instance-specific regret …
Global sensitivity analysis for MAP inference in graphical models
J De Bock, CP De Campos… - Advances in Neural …, 2014 - proceedings.neurips.cc
We study the sensitivity of a MAP configuration of a discrete probabilistic graphical model
with respect to perturbations of its parameters. These perturbations are global, in the sense …
with respect to perturbations of its parameters. These perturbations are global, in the sense …
Guaranteed weighted counting for affinity computation: Beyond determinism and structure
Computing the constant Z that normalizes an arbitrary distribution into a probability
distribution is a difficult problem that has applications in statistics, biophysics and …
distribution is a difficult problem that has applications in statistics, biophysics and …
An efficient message-passing algorithm for the M-best MAP problem
D Batra - arxiv preprint arxiv:1210.4841, 2012 - arxiv.org
Much effort has been directed at algorithms for obtaining the highest probability
configuration in a probabilistic random field model known as the maximum a posteriori …
configuration in a probabilistic random field model known as the maximum a posteriori …
A combinatorial search perspective on diverse solution generation
Finding diverse solutions has become important in many combinatorial search domains,
including Automated Planning, Path Planning and Constraint Programming. Much of the …
including Automated Planning, Path Planning and Constraint Programming. Much of the …