[PDF] Top 20 Expectation Consistent Approximate Inference
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Expectation Consistent Approximate Inference
... Minka’s Expectation Propagation (EP) approach (Minka, 2001a,b) seems to provide a general framework from which many of these developments can be re-derived and ...tractable approximate distribution—are ... See full document
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Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server
... and approximate schemes such as variational inference (VI) (Wainwright and Jordan, 2008), Markov chain Monte Carlo (MCMC) (Gilks et ...variational inference (Hoffman et ...is expectation ... See full document
37
Circulant embedding of approximate covariances for inference from Gaussian data on large lattices
... Carlo Expectation-Maximization (EM) methods for estimating covariance parameters rely on succes- sive imputations of values on the larger embedding ...our approximate procedures are faster to compute per ... See full document
23
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
... for approximate smoothed inference in a class of switching linear dynamical systems, based on a novel form of Gaussian Sum ...system, expectation propagation, expectation ... See full document
26
Monte Carlo MCMC: Efficient Inference by Approximate Sampling
... When performing MCMC, each sample is a set- ting to all the y variables that is consistent with tran- sitivity. To maintain transitivity during sampling, Metropolis Hastings is used to change the binary variables ... See full document
10
Approximate Inference on Planar Graphs using Loop Calculus and Belief Propagation
... are consistent with the following related statement: the partition function of a planar graphical model defined in terms of binary variables can be solved in polynomial time by computing an appropriate Pfaffian ... See full document
24
Turbo Parsers: Dependency Parsing by Approximate Variational Inference
... a consistent gain when the SVM loss is ...less approximate than Turbo Parser #1, since only the marginal polytope is approximated (the entropy function is not ... See full document
11
Perturbation Corrections in Approximate Inference: Mixture Modelling Applications
... Bayesian inference is intractable for many interesting models, making deterministic algorithms for approximate inference highly ...an expectation-consistent (EC) approximation can ... See full document
42
Gaussian Kullback-Leibler Approximate Inference
... Gaussian expectation propagation methods seek to approximate the target density by sequentially matching moments between marginals of the variational Gaussian distribution and a density con- structed from ... See full document
48
libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models
... exact inference by brute force enumeration and the junction-tree method, libDAI cur- rently offers the following approximate inference methods for calculating partition sums, marginals and MAP ... See full document
5
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs
... this expectation is computed exactly, one can retrieve the true ...the expectation using summary statistics on the hy- ...and inference tasks demonstrate clearly that this approximation indeed ... See full document
9
Approximate Inference for Determinantal Point Processes
... estimating the mode, and maximizing likelihood. For DPPs, exactly computing the quantities necessary for the first four of these tasks requires time cubic in the number of items or features of the items. In this thesis, ... See full document
164
glm-ie: Generalised Linear Models Inference & Estimation Toolbox
... and inference in generalised linear mod- els over continuous-valued ...offers inference based on (convex) variational bounds, on expectation propagation and on factorial mean ...efficient ... See full document
5
Assessing Approximate Inference for Binary Gaussian Process Classification
... Bayesian inference is analytically intractable and various approximation techniques have been ...and Expectation Prop- agation for approximate Bayesian inference in the binary Gaussian process ... See full document
26
Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models
... Expectation Propagation (EP) provides a framework for approximate inference. When the model under consideration is over a latent Gaussian field, with the approximation being Gaussian, we show how ... See full document
42
Particle filter-based approximate maximum likelihood inference asymptotics in state-space models
... and ˜ θ n is the maximiser of ˜ n , then ˜ θ n satisfies the conditions of the theorem and is hence consistent [2, p. 2285]. To construct our particular approximation to the log-likelihood, we introduce a finite set ... See full document
6
Cube Summing, Approximate Inference with Non Local Features, and Dynamic Programming without Semirings
... Cube pruning is based on the k-best algorithms of Huang and Chiang (2005), which save time over generic semiring implementations through lazy computation in both the aggregation and com- bination operations. Their ... See full document
9
Introduction To Artificial intelligence
... Many problems in AI can be solved in theory by intelligently searching through many possible solution Reasoning can be reduced to performing a search. For example, logical proof can be viewed as searching for a path that ... See full document
7
Rapid and simultaneous synthesis of a hydrogen bond template [3]rotaxane and its related [2]rotaxane molecular shuttle
... is consistent with intercalation of the axle component between the aromatic rings of the ...is consistent with hydrogen bonding to the carbonyl oxygen of the axle ... See full document
21
Solving the Problem of Cascading Errors: Approximate Bayesian Inference for Linguistic Annotation Pipelines
... Using approximate inference to es- timate the marginal distribution over the last stage in the pipeline, such as our sampling approach, the pipeline length does not have this negative impact or affect the ... See full document
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