Gaussian Processes

Gaussian Processes is a powerful framework for several machine learning tasks such as regression, classification and inference. Given a finite set of input output training data that is generated out of a fixed (but possibly unknown) function, the framework models the unknown function as a stochastic process such that the training outputs are a finite number of jointly Gaussian random variables, whose properties can then be used to infer the statistics (the mean and variance) of the function at test values of input.

Source: Sequential Randomized Matrix Factorization for Gaussian Processes: Efficient Predictions and Hyper-parameter Optimization

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1926–1950 of 1963 papers

Title	Date	Tasks	Status
Multiresolution Gaussian Processes	Dec 1, 2012	Gaussian Processes	—Unverified
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression	Dec 1, 2012	Bayesian InferenceGaussian Processes	—Unverified
Bayesian Warped Gaussian Processes	Dec 1, 2012	Gaussian ProcessesGeneral Classification	—Unverified
Random walk kernels and learning curves for Gaussian process regression on random graphs	Nov 6, 2012	Gaussian Processesregression	—Unverified
Deep Gaussian Processes	Nov 2, 2012	Gaussian ProcessesModel Selection	—Unverified
Locally adaptive factor processes for multivariate time series	Oct 7, 2012	Bayesian InferenceGaussian Processes	—Unverified
Information fusion in multi-task Gaussian processes	Oct 6, 2012	Gaussian Processes	—Unverified
Variable noise and dimensionality reduction for sparse Gaussian processes	Jun 27, 2012	Dimensionality ReductionGaussian Processes	—Unverified
Bayesian Modeling with Gaussian Processes using the GPstuff Toolbox	Jun 25, 2012	Gaussian Processes	CodeCode Available
Robust Filtering and Smoothing with Gaussian Processes	Mar 20, 2012	Gaussian Processes	—Unverified
Infinite Shift-invariant Grouped Multi-task Learning for Gaussian Processes	Mar 5, 2012	Gaussian ProcessesModel Selection	—Unverified
Additive Gaussian Processes	Dec 19, 2011	Additive modelsGaussian Processes	CodeCode Available
Active learning of neural response functions with Gaussian processes	Dec 1, 2011	Active LearningExperimental Design	—Unverified
Analytical Results for the Error in Filtering of Gaussian Processes	Dec 1, 2011	DecoderGaussian Processes	—Unverified
Universal low-rank matrix recovery from Pauli measurements	Dec 1, 2011	compressed sensingGaussian Processes	—Unverified
Optimal Reinforcement Learning for Gaussian Systems	Dec 1, 2011	Gaussian Processesreinforcement-learning	—Unverified
Nonlinear Inverse Reinforcement Learning with Gaussian Processes	Dec 1, 2011	Gaussian Processesreinforcement-learning	CodeCode Available
Gaussian Process Regression Networks	Oct 19, 2011	Gaussian Processesregression	CodeCode Available
Overlapping Mixtures of Gaussian Processes for the Data Association Problem	Aug 16, 2011	Gaussian ProcessesMulti-Object Tracking	—Unverified
Linear Latent Force Models using Gaussian Processes	Jul 13, 2011	Gaussian Processes	—Unverified
Kernels for Vector-Valued Functions: a Review	Jun 30, 2011	Gaussian Processesvalid	CodeCode Available
Evaluation of Rarity of Fingerprints in Forensics	Dec 1, 2010	Gaussian Processes	—Unverified
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors	Dec 1, 2010	Gaussian Processes	—Unverified
Approximate inference in continuous time Gaussian-Jump processes	Dec 1, 2010	Gaussian Processes	—Unverified
Heavy-Tailed Process Priors for Selective Shrinkage	Dec 1, 2010	Gaussian ProcessesGeneral Classification	—Unverified

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	ICKy, periodic	Root mean square error (RMSE)	0.03	—	Unverified