conftrace_

gaussian random field

9 papers

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Also known as

GRF

Co-occurring keywords · papers mentioning both

graph-based learning (2) spectral dimensionality reduction (2) parameter estimation (2) label propagation (2) maximum entropy (2) active learning (2) nonlinear dimensionality reduction (1) random forest (1) predictive covariance (1) covariance function (1)

Papers

Toward L_∞Recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields COLT 2023 Inference of Black Hole Fluid-Dynamics From Sparse Interferometric Measurements ICCV 2021 On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach JMLR 2020 Learning Large-Scale Automatic Image Colorization ICCV 2015 Σ-Optimality for Active Learning on Gaussian Random Fields NeurIPS 2013 A Variance Minimization Criterion to Active Learning on Graphs AISTATS 2012 Discussion of “Spectral Dimensionality Reduction via Maximum Entropy” AISTATS 2011 Spectral Dimensionality Reduction via Maximum Entropy AISTATS 2011 Classification in Networked Data: A Toolkit and a Univariate Case Study JMLR 2007