Pages that link to "Item:Q1591282"

The following pages link to Improving predictive inference under covariate shift by weighting the log-likelihood function (Q1591282):

Displaying 32 items.

• Adaptive Mixtures of Regressions: Improving Predictive Inference when Population has Changed (Q2876167) (← links)
• Reward-weighted regression with sample reuse for direct policy search in reinforcement learning (Q2887009) (← links)
• A Hilbert Space Embedding for Distributions (Q3520045) (← links)
• On Prior Selection and Covariate Shift of β-Bayesian Prediction Under α-Divergence Risk (Q3585267) (← links)
• Stationary Subspace Analysis (Q3614924) (← links)
• Theory and Algorithm for Learning with Dissimilarity Functions (Q3628019) (← links)
• (Q4558180) (← links)
• On handling negative transfer and imbalanced distributions in multiple source transfer learning (Q4969942) (← links)
• Constructive setting for problems of density ratio estimation (Q4969999) (← links)
• (Q5159438) (← links)
• Variable Selection for Nonparametric Learning with Power Series Kernels (Q5214363) (← links)
• Robust randomized optimization with k nearest neighbors (Q5236747) (← links)
• Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration (Q5378202) (← links)
• Relative Density-Ratio Estimation for Robust Distribution Comparison (Q5378219) (← links)
• Mismatched Training and Test Distributions Can Outperform Matched Ones (Q5380204) (← links)
• Semiparametric Estimation of the Transformation Model by Leveraging External Aggregate Data in the Presence of Population Heterogeneity (Q6079683) (← links)
• Estimating the Area under the ROC Curve When Transporting a Prediction Model to a Target Population (Q6079722) (← links)
• Hierarchical optimal transport for unsupervised domain adaptation (Q6097101) (← links)
• MapFlow: latent transition via normalizing flow for unsupervised domain adaptation (Q6134356) (← links)
• Multimodel ensemble analysis with neural network Gaussian processes (Q6138650) (← links)
• Optimally tackling covariate shift in RKHS-based nonparametric regression (Q6172197) (← links)
• Bayesian hierarchical stacking: some models are (somewhere) useful (Q6203242) (← links)
• Forecasting hurricane-related power outages via locally optimized random forests (Q6541753) (← links)
• Local convergence rates of the nonparametric least squares estimator with applications to transfer learning (Q6565304) (← links)
• Realizable learning is all you need (Q6566462) (← links)
• A Two-Sample Conditional Distribution Test Using Conformal Prediction and Weighted Rank Sum (Q6567908) (← links)
• Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models (Q6595779) (← links)
• Learning under nonstationarity: covariate shift and class-balance change (Q6607922) (← links)
• Sparse joint shift in multinomial classification (Q6620128) (← links)
• Efficient and multiply robust risk estimation under general forms of dataset shift (Q6621547) (← links)
• Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies (Q6631697) (← links)
• Robust estimation of loss-based measures of model performance under covariate shift (Q6642539) (← links)