1![Just-In-Time Kernel Regression for Expectation Propagation Wittawat Jitkrittum1 Arthur Gretton1 Nicolas Heess∗ S. M. Ali Eslami∗ Just-In-Time Kernel Regression for Expectation Propagation Wittawat Jitkrittum1 Arthur Gretton1 Nicolas Heess∗ S. M. Ali Eslami∗](https://www.pdfsearch.io/img/5103342d6dfef6d80867a0d7ce0785ea.jpg) | Add to Reading ListSource URL: arkitus.comLanguage: English - Date: 2016-01-08 16:47:19
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2![Kernel Ridge Regression Mohammad Emtiyaz Khan EPFL Oct 27, 2015 Kernel Ridge Regression Mohammad Emtiyaz Khan EPFL Oct 27, 2015](https://www.pdfsearch.io/img/30b3f8917935995ef92332b32787fd66.jpg) | Add to Reading ListSource URL: emtiyaz.github.ioLanguage: English - Date: 2018-08-03 01:10:17
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3![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 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](https://www.pdfsearch.io/img/108ccbd00ee40ec29fd689bead1f7bed.jpg) | Add to Reading ListSource URL: www-sigproc.eng.cam.ac.ukLanguage: English - Date: 2013-08-15 10:16:59
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4![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 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](https://www.pdfsearch.io/img/90d51e6006b96f736035737654c21395.jpg) | Add to Reading ListSource URL: www.clrc.rhul.ac.ukLanguage: English - Date: 2010-07-02 22:19:40
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5![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 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](https://www.pdfsearch.io/img/be39c53b02a8cd7c7e60640f49296bd5.jpg) | Add to Reading ListSource URL: www.unc.eduLanguage: English - Date: 2007-02-19 12:12:43
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6![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 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](https://www.pdfsearch.io/img/1fc0a13b3d4b77ee88ba23b2f60a7b5d.jpg) | Add to Reading ListSource URL: proceedings.mlr.press- Date: 2018-02-06 15:06:57
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7![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 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](https://www.pdfsearch.io/img/0edbe1bf402152cfd859954537ae068a.jpg) | Add to Reading ListSource URL: proceedings.mlr.press- Date: 2018-02-06 15:06:57
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8![Adaptivity to Local Smoothness and Dimension in Kernel Regression Samory Kpotufe Toyota Technological Institute-Chicago∗ Adaptivity to Local Smoothness and Dimension in Kernel Regression Samory Kpotufe Toyota Technological Institute-Chicago∗](https://www.pdfsearch.io/img/ef2721485da3ba72e4cfc09b5fba8006.jpg) | Add to Reading ListSource URL: ttic.uchicago.edu- Date: 2013-12-30 13:33:12
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9![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 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](https://www.pdfsearch.io/img/6ae740c0b34f5565386af3eddc2eebe1.jpg) | Add to Reading ListSource URL: www.dcc.fc.up.ptLanguage: English - Date: 2012-12-13 10:18:43
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10![Nonparametric Regression with Correlated Errors Jean Opsomer Iowa State University Yuedong Wang University of California, Santa Barbara Nonparametric Regression with Correlated Errors Jean Opsomer Iowa State University Yuedong Wang University of California, Santa Barbara](https://www.pdfsearch.io/img/a297c721b9172632eb791895a7b79cdb.jpg) | Add to Reading ListSource URL: www.pstat.ucsb.eduLanguage: English - Date: 2001-11-05 13:11:35
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