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scientific article; zbMATH DE number 7255059

Language	Label	Description	Also known as
English	No label defined	scientific article; zbMATH DE number 7255059

Statements

scholarly article

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Nicolás García Trillos

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Thabo Samakhoana

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Daniel Sanz-Alonso

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publication date

5 October 2020

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full work available at URL

https://jmlr.csail.mit.edu/papers/v21/17-698.html

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zbMATH Keywords

semi-supervised learning

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graph-based learning

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Markov chain Monte Carlo

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spectral gap

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MaRDI profile type

MaRDI publication profile

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Importance sampling: intrinsic dimension and computational cost

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Approximation errors and model reduction with an application in optical diffusion tomography

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Semi-supervised learning on Riemannian manifolds

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Learning Theory

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Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

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Uncertainty Quantification in Graph-Based Classification of High Dimensional Data

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MCMC METHODS FOR DIFFUSION BRIDGES

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A graph discretization of the Laplace-Beltrami operator

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Bayesian inverse problems for functions and applications to fluid mechanics

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MCMC methods for functions: modifying old algorithms to make them faster

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Data-driven model reduction for the Bayesian solution of inverse problems

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Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data

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Gaussian Process Landmarking on Manifolds

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A new analytical approach to consistency and overfitting in regularized empirical risk minimization

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The Bayesian formulation and well-posedness of fractional elliptic inverse problems

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Continuum Limits of Posteriors in Graph Bayesian Inverse Problems

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The Bayesian update: variational formulations and gradient flows

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On the Rate of Convergence of Empirical Measures in ∞-transportation Distance

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Continuum limit of total variation on point clouds

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A variational approach to the consistency of spectral clustering

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Error estimates for spectral convergence of the graph Laplacian on random geometric graphs toward the Laplace-Beltrami operator

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Annealing Markov Chain Monte Carlo with Applications to Ancestral Inference

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Empirical graph Laplacian approximation of Laplace–Beltrami operators: Large sample results

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Asymptotic coupling and a general form of Harris' theorem with applications to stochastic delay equations

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Spectral gaps for a Metropolis-Hastings algorithm in infinite dimensions

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Nonparametric Bayesian label prediction on a graph

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Uniform Convergence of Adaptive Graph-Based Regularization

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Bayesian Calibration of Computer Models

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Central limit theorem for additive functionals of reversible Markov processes and applications to simple exclusions

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The use of unlabeled data in predictive modeling

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Stochastic spectral methods for efficient Bayesian solution of inverse problems

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On a generalization of the preconditioned Crank-Nicolson metropolis algorithm

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Design and analysis of computer experiments. With comments and a rejoinder by the authors

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Importance Sampling and Necessary Sample Size: An Information Theory Approach

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From graph to manifold Laplacian: the convergence rate

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Spectral convergence of the connection Laplacian from random samples

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Analysis of $p$-Laplacian Regularization in Semisupervised Learning

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Posterior consistency for Gaussian process approximations of Bayesian posterior distributions

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Identifiers

zbMATH Open document ID

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:4969066

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