Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs
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[1] Andrew Gordon Wilson,et al. Fast Kernel Learning for Multidimensional Pattern Extrapolation , 2014, NIPS.
[2] David J. Nott,et al. Variational inference for sparse spectrum Gaussian process regression , 2013, Stat. Comput..
[3] Carl E. Rasmussen,et al. Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models , 2014, NIPS.
[4] Benjamin Recht,et al. Random Features for Large-Scale Kernel Machines , 2007, NIPS.
[5] David J. C. MacKay,et al. A Practical Bayesian Framework for Backpropagation Networks , 1992, Neural Computation.
[6] Joshua B. Tenenbaum,et al. Structure Discovery in Nonparametric Regression through Compositional Kernel Search , 2013, ICML.
[7] Neil D. Lawrence,et al. Bayesian Gaussian Process Latent Variable Model , 2010, AISTATS.
[8] Carl E. Rasmussen,et al. Gaussian Processes in Reinforcement Learning , 2003, NIPS.
[9] Richard E. Turner. Statistical models for natural sounds , 2010 .
[10] Carl E. Rasmussen,et al. Sparse Spectrum Gaussian Process Regression , 2010, J. Mach. Learn. Res..
[11] R. V. Churchill,et al. Lectures on Fourier Integrals , 1959 .
[12] Georg Lindgren,et al. Stationary Stochastic Processes: Theory and Applications , 2012 .
[13] Nando de Freitas,et al. A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning , 2010, ArXiv.
[14] Chong Wang,et al. Stochastic variational inference , 2012, J. Mach. Learn. Res..
[15] Carla Teixeira Lopes,et al. TIMIT Acoustic-Phonetic Continuous Speech Corpus , 2012 .
[16] Carl E. Rasmussen,et al. A Unifying View of Sparse Approximate Gaussian Process Regression , 2005, J. Mach. Learn. Res..
[17] David J. C. MacKay,et al. The Evidence Framework Applied to Classification Networks , 1992, Neural Computation.
[18] RasmussenCarl Edward,et al. A Unifying View of Sparse Approximate Gaussian Process Regression , 2005 .
[19] Michalis K. Titsias,et al. Variational Learning of Inducing Variables in Sparse Gaussian Processes , 2009, AISTATS.
[20] Christopher K. I. Williams,et al. Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) , 2005 .
[21] Jonathan G. Fiscus,et al. Darpa Timit Acoustic-Phonetic Continuous Speech Corpus CD-ROM {TIMIT} | NIST , 1993 .
[22] Shie Mannor,et al. Reinforcement learning with Gaussian processes , 2005, ICML.
[23] Neil D. Lawrence,et al. Gaussian Processes for Big Data , 2013, UAI.
[24] Neil D. Lawrence,et al. Deep Gaussian Processes , 2012, AISTATS.
[25] Christopher M. Bishop,et al. Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .
[26] Andrew Gordon Wilson,et al. Gaussian Process Kernels for Pattern Discovery and Extrapolation , 2013, ICML.
[27] Jorge Nocedal,et al. Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization , 1997, TOMS.
[28] Nasser M. Nasrabadi,et al. Pattern Recognition and Machine Learning , 2006, Technometrics.