conftrace_

gaussian markov random field

26 papers

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Also known as

GMRF

Co-occurring keywords

graphical model (864) sparse inverse covariance (23) variational inference (2069) markov random field (303) precision matrix (58) bayesian inference (1907) graph laplacian (109) inverse covariance estimation (15) topic model (290) graph neural network (3962)

Papers

Efficient Graph Laplacian Estimation by Proximal Newton AISTATS 2024
Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems NIPS 2023
Infinite SCAN: An Infinite Model of Diachronic Semantic Change EMNLP 2022
Learning Bipartite Graphs: Heavy Tails and Multiple Components NIPS 2022
Scalable Deep Gaussian Markov Random Fields for General Graphs ICML 2022
Efficient methods for Gaussian Markov random fields under sparse linear constraints NIPS 2021
Scalable Inference of Sparsely-changing Gaussian Markov Random Fields NIPS 2021
Deep Gaussian Markov Random Fields ICML 2020
Improved Semi-Supervised Learning with Multiple Graphs AISTATS 2019
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era AISTATS 2019
Globally Optimal Learning for Structured Elliptical Losses NIPS 2019
Horde of Bandits using Gaussian Markov Random Fields AISTATS 2017
Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization IJCAI 2017
Active Pictorial Structures CVPR 2015
Adaptive Belief Propagation ICML 2015
QUIC: Quadratic Approximation for Sparse Inverse Covariance Estimation JMLR 2014
Exploiting the Limits of Structure Learning via Inherent Symmetry AISTATS 2014
A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions AISTATS 2013
Topical Video Object Discovery from Key Frames by Modeling Word Co-occurrence Prior CVPR 2013
A Unifying Probabilistic Perspective for Spectral Dimensionality Reduction: Insights and New Models JMLR 2012
High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods AISTATS 2012
Graphical Gaussian Vector for Image Categorization NIPS 2012
A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation NIPS 2012
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation NIPS 2011
Gaussian sampling by local perturbations NIPS 2010