Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation
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Publication:5383775
DOI10.1162/NECO_a_00589zbMath1419.62140WikidataQ43483663 ScholiaQ43483663MaRDI QIDQ5383775
John A. Quinn, Song Liu, Michael U. Gutmann, Taiji Suzuki, Masashi Sugiyama
Publication date: 20 June 2019
Published in: Neural Computation (Search for Journal in Brave)
Density estimation (62G07) Estimation in multivariate analysis (62H12) Applications of graph theory (05C90)
Uses Software
Cites Work
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- Sparse inverse covariance estimation with the graphical lasso
- Direct importance estimation for covariate shift adaptation
- Interpreting Kullback--Leibler divergence with the Neyman-Pearson Lemma
- High-dimensional Ising model selection using \(\ell _{1}\)-regularized logistic regression
- Slice sampling. (With discussions and rejoinder)
- Density-ratio matching under the Bregman divergence: a unified framework of density-ratio estimation
- High-dimensional graphs and variable selection with the Lasso
- Change-point detection in time-series data by relative density-ratio estimation
- Density Ratio Estimation in Machine Learning
- Training Products of Experts by Minimizing Contrastive Divergence
- Graphical Models, Exponential Families, and Variational Inference
- Sparsity and Smoothness Via the Fused Lasso
- An Algorithm Based on Singular Spectrum Analysis for Change-Point Detection
- Sequential change‐point detection based on direct density‐ratio estimation
- Divergence Estimation for Multidimensional Densities Via $k$-Nearest-Neighbor Distances
- The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes
- Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization
- Regularization and Variable Selection Via the Elastic Net
- An online kernel change detection algorithm
- Relative Density-Ratio Estimation for Robust Distribution Comparison
- Density-Difference Estimation
- On Information and Sufficiency
- The elements of statistical learning. Data mining, inference, and prediction