Pages that link to "Item:Q2834480"
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The following pages link to Learning theory for distribution regression (Q2834480):
Displaying 27 items.
- Deep distribution regression (Q830104) (← links)
- A class of optimal estimators for the covariance operator in reproducing kernel Hilbert spaces (Q1755120) (← links)
- Hyperlink regression via Bregman divergence (Q1980417) (← links)
- On a regularization of unsupervised domain adaptation in RKHS (Q2075006) (← links)
- Minimax rate for optimal transport regression between distributions (Q2112279) (← links)
- Distributional anchor regression (Q2152546) (← links)
- Learning rate of distribution regression with dependent samples (Q2171946) (← links)
- Distributed learning and distribution regression of coefficient regularization (Q2223571) (← links)
- Optimal learning rates for distribution regression (Q2283125) (← links)
- Multivariate tests of independence based on a new class of measures of independence in reproducing kernel Hilbert space (Q2692923) (← links)
- Kernel regression, minimax rates and effective dimensionality: Beyond the regular case (Q3298576) (← links)
- Learning Structure Illuminates Black Boxes – An Introduction to Estimation of Distribution Algorithms (Q3509448) (← links)
- Kernel method for persistence diagrams via kernel embedding and weight factor (Q4558518) (← links)
- Characteristic and Universal Tensor Product Kernels (Q4558575) (← links)
- (Q4998861) (← links)
- Marginally Calibrated Deep Distributional Regression (Q5066406) (← links)
- Distribution regression model with a Reproducing Kernel Hilbert Space approach (Q5078501) (← links)
- GAMLSS: A distributional regression approach (Q5142208) (← links)
- Robust kernel-based distribution regression (Q5157866) (← links)
- (Q5159455) (← links)
- Computing functions of random variables via reproducing kernel Hilbert space representations (Q5963778) (← links)
- Wasserstein Regression (Q6109970) (← links)
- Estimates on learning rates for multi-penalty distribution regression (Q6138930) (← links)
- Deep learning theory of distribution regression with CNNs (Q6168055) (← links)
- Characteristic kernels on Hilbert spaces, Banach spaces, and on sets of measures (Q6201859) (← links)
- Direct Bayesian linear regression for distribution-valued covariates (Q6597261) (← links)
- Covariance parameter estimation of Gaussian processes with approximated functional inputs (Q6656675) (← links)
