Monotonicity and Double Descent in Uncertainty Estimation with Gaussian
Processes

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Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes

14 October 2022

Liam Hodgkinson

Christopher van der Heide

Michael W. Mahoney

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Papers citing "Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes"

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Title
Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate M. Belkin Daniel J. Hsu P. Mitra AI4CE 146 259 0 13 Jun 2018
To understand deep learning we need to understand kernel learning M. Belkin Siyuan Ma Soumik Mandal 65 420 0 05 Feb 2018
Rethinking generalization requires revisiting old ideas: statistical mechanics approaches and complex learning behavior Charles H. Martin Michael W. Mahoney AI4CE 59 64 0 26 Oct 2017
Data-driven Random Fourier Features using Stein Effect Wei-Cheng Chang Chun-Liang Li Yiming Yang Barnabás Póczós 54 30 0 23 May 2017
PAC-Bayesian Theory Meets Bayesian Inference Pascal Germain Francis R. Bach Alexandre Lacoste Simon Lacoste-Julien 68 184 0 27 May 2016
High-Dimensional Asymptotics of Prediction: Ridge Regression and Classification Yan Sun Stefan Wager 108 288 0 10 Jul 2015
Kernel Mean Estimation and Stein's Effect Krikamol Muandet Kenji Fukumizu Bharath K. Sriperumbudur Arthur Gretton Bernhard Schölkopf 109 40 0 04 Jun 2013
The spectrum of kernel random matrices N. Karoui 162 224 0 04 Jan 2010