Just-In-Time Kernel Regression for Expectation Propagation Wittawat Jitkrittum1 Arthur Gretton1 Nicolas Heess∗ S. M. Ali Eslami∗

Source URL: arkitus.com

Kernel Ridge Regression Mohammad Emtiyaz Khan EPFL Oct 27, 2015

Source URL: emtiyaz.github.io

Sequential Bayesian Kernel Regression Jaco Vermaak, Simon J. Godsill, Arnaud Doucet Cambridge University Engineering Department Cambridge, CB2 1PZ, U.K. {jv211, sjg, ad2}@eng.cam.ac.uk

Source URL: www-sigproc.eng.cam.ac.uk

An Identity for Kernel Ridge Regression Fedor Zhdanov and Yuri Kalnishkan Computer Learning Research Centre and Department of Computer Science, Royal Holloway, University of London, Egham, Surrey, TW20 0EX, United Kingdo

Source URL: www.clrc.rhul.ac.uk

Quantile Regression in Reproducing Kernel Hilbert Spaces Youjuan L I, Yufeng L IU, and Ji Z HU In this article we consider quantile regression in reproducing kernel Hilbert spaces, which we call kernel quantile regressio

Source URL: www.unc.edu

Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees Appendix: Proofs A. Preliminaries Our upper and lower bound analysis relies predominantly on Fourier analysis, so we no

Source URL: proceedings.mlr.press

Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees Haim Avron 1 Michael Kapralov 2 Cameron Musco 3 Christopher Musco 3 Ameya Velingker 2 Amir Zandieh 2 Abstract

Source URL: proceedings.mlr.press

Adaptivity to Local Smoothness and Dimension in Kernel Regression Samory Kpotufe Toyota Technological Institute-Chicago∗

Source URL: ttic.uchicago.edu

Chapter 5 Local Regress ion Trees In this chapter we explore the hypothesis of improving the accuracy of regression trees by using smoother models at the tree leaves. Our proposal consists of using local regression model

Source URL: www.dcc.fc.up.pt

• Regression analysis
• Statistics
• Estimation theory
• Nonparametric statistics
• Parametric statistics
• Polynomial regression
• Local regression
• Decision tree learning
• Kernel regression
• Ordinary least squares
• Nonparametric regression
• Linear regression

Nonparametric Regression with Correlated Errors Jean Opsomer Iowa State University Yuedong Wang University of California, Santa Barbara

Source URL: www.pstat.ucsb.edu

• Statistics
• Regression analysis
• Autocorrelation
• Linear regression
• Polynomial regression
• Nonparametric regression
• Kernel regression
• Correlation and dependence
• Errors and residuals
• Degrees of freedom
• Variance
• Normal distribution