Pages that link to "Item:Q420923"
From MaRDI portal
The following pages link to Statistical analysis of kernel-based least-squares density-ratio estimation (Q420923):
Displaying 30 items.
- Direct importance estimation for covariate shift adaptation (Q144623) (← links)
- Statistical analysis of distance estimators with density differences and density ratios (Q296447) (← links)
- Semi-supervised learning with density-ratio estimation (Q374187) (← links)
- Semi-supervised learning of class balance under class-prior change by distribution matching (Q470186) (← links)
- Least-squares independence regression for non-linear causal inference under non-Gaussian noise (Q479477) (← links)
- Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search (Q553261) (← links)
- Machine learning with squared-loss mutual information (Q742658) (← links)
- Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation (Q889297) (← links)
- Analytical plug-in method for kernel density estimator applied to genetic neutrality study (Q939615) (← links)
- Dimensionality reduction for density ratio estimation in high-dimensional spaces (Q1784536) (← links)
- Density-ratio matching under the Bregman divergence: a unified framework of density-ratio estimation (Q1926013) (← links)
- Computational complexity of kernel-based density-ratio estimation: a condition number analysis (Q1945037) (← links)
- Least-squares two-sample test (Q1952558) (← links)
- Semiparametric optimal estimation with nonignorable nonresponse data (Q2054542) (← links)
- On a regularization of unsupervised domain adaptation in RKHS (Q2075006) (← links)
- Numerical study of learning algorithms on Stiefel manifold (Q2355188) (← links)
- Change-point detection in time-series data by relative density-ratio estimation (Q2510812) (← links)
- A least-squares approach to direct importance estimation (Q2880931) (← links)
- Density ratio estimation in machine learning. Foreword by Thomas G. Dietterich (Q2881380) (← links)
- Imitation Learning as f-Divergence Minimization (Q3381979) (← links)
- Some heuristics of kernel based estimators of ratio functions (Q3432406) (← links)
- Kernel and Probit Estimates in Quantal Bioassay (Q3811579) (← links)
- (Q4558505) (← links)
- Rejoinder: Learning Optimal Distributionally Robust Individualized Treatment Rules (Q4999147) (← links)
- Information-Theoretic Representation Learning for Positive-Unlabeled Classification (Q5004294) (← links)
- Variable Selection for Nonparametric Learning with Power Series Kernels (Q5214363) (← links)
- Density-Difference Estimation (Q5378275) (← links)
- Density estimation in the two-sample problem with likelihood ratio ordering (Q5384449) (← links)
- Distributed computation for marginal likelihood based model choice (Q6122039) (← links)
- Learning under nonstationarity: covariate shift and class-balance change (Q6607922) (← links)
