Semi-supervised learning with summary statistics
From MaRDI portal
Publication:5236748
DOI10.1142/S0219530519400037zbMath1430.68272OpenAlexW2956975562WikidataQ127528894 ScholiaQ127528894MaRDI QIDQ5236748
Publication date: 10 October 2019
Published in: Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s0219530519400037
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Learning and adaptive systems in artificial intelligence (68T05) Privacy of data (68P27)
Related Items
Uses Software
Cites Work
- An empirical feature-based learning algorithm producing sparse approximations
- On regularization algorithms in learning theory
- Variation of discrete spectra
- The Hoffman-Wielandt inequality in infinite dimensions
- Bayesian large-scale multiple regression with summary statistics from genome-wide association studies
- Distributed kernel-based gradient descent algorithms
- Optimum bounds for the distributions of martingales in Banach spaces
- Optimal rates for the regularized least-squares algorithm
- Diffusion maps
- Learning theory estimates via integral operators and their approximations
- On early stopping in gradient descent learning
- The variation of the spectrum of a normal matrix
- Convergence rates of Kernel Conjugate Gradient for random design regression
- Uncertainty Quantification in Graph-Based Classification of High Dimensional Data
- Eigenvalues of Positive Definite Kernels II
- Eigenvalues of Analytic Kernels
- Learning Theory
- Support Vector Machines
- Distributed learning with indefinite kernels
- Regularization schemes for minimum error entropy principle
- Learning theory of distributed spectral algorithms
- Learning rates for regularized least squares ranking algorithm
- Online minimum error entropy algorithm with unbounded sampling
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
