Regularity dependence of the rate of convergence of the learning curve for Gaussian process regression
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[1] K. Ritter. Almost Optimal Differentiation Using Noisy Data , 1996 .
[2] Geoffrey M. Laslett,et al. Kriging and Splines: An Empirical Comparison of their Predictive Performance in Some Applications , 1994 .
[3] T. Gneiting,et al. Matérn Cross-Covariance Functions for Multivariate Random Fields , 2010 .
[4] Christopher K. I. Williams,et al. Upper and Lower Bounds on the Learning Curve for Gaussian Processes , 2000, Machine Learning.
[5] Thomas J. Santner,et al. The Design and Analysis of Computer Experiments , 2003, Springer Series in Statistics.
[6] Josselin Garnier,et al. Adaptive directional stratification for controlled estimation of the probability of a rare event , 2011, Reliab. Eng. Syst. Saf..
[7] G. Wahba,et al. Design Problems for Optimal Surface Interpolation. , 1979 .
[8] Jerome Sacks,et al. Variance estimation for approximately linear models , 1981 .
[9] Peter Sollich,et al. Learning Curves for Gaussian Process Regression: Approximations and Bounds , 2001, Neural Computation.
[10] J. Mercer. Functions of Positive and Negative Type, and their Connection with the Theory of Integral Equations , 1909 .
[11] M Bozzini,et al. Numerical differentiation of 2D functions from noisy data , 2003 .
[12] Joachim Miss,et al. THE MORET 4.B MONTE CARLO CODE New features to treat complex criticality systems , 2005 .
[13] V. Picheny. Improving accuracy and compensating for uncertainty in surrogate modeling , 2009 .
[14] Manfred Opper,et al. General Bounds on Bayes Errors for Regression with Gaussian Processes , 1998, NIPS.
[15] Radu Alexandru Todor,et al. Robust Eigenvalue Computation for Smoothing Operators , 2006, SIAM J. Numer. Anal..
[16] Sonja Kuhnt,et al. Design and analysis of computer experiments , 2010 .
[17] D. Harville. Matrix Algebra From a Statistician's Perspective , 1998 .
[18] Jared C. Bronski,et al. Asymptotics of Karhunen-Loeve Eigenvalues and Tight Constants for Probability Distributions of Passive Scalar Transport , 2003 .
[19] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[20] Multivariate Geostatistics , 2004 .
[21] A. I. Nazarov,et al. Exact L2-small ball behavior of integrated Gaussian processes and spectral asymptotics of boundary value problems , 2004 .
[22] Руслан Сергеевич Пусев,et al. Асимптотика малых уклонений в весовой квадратичной норме для полей и процессов Матерна@@@Small deviation asymptotics for Matern processes and fields under weighted quadratic norm , 2010 .
[23] Klaus Ritter,et al. Average-case analysis of numerical problems , 2000, Lecture notes in mathematics.
[24] D. Shanno. Conditioning of Quasi-Newton Methods for Function Minimization , 1970 .
[25] J. Berger,et al. Objective Bayesian Analysis of Spatially Correlated Data , 2001 .