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Gaussian Processes

568 directly classified papers

Papers per year

Papers

Active Visual Recognition with Expertise Estimation in Crowdsourcing ICCV 2013
The Bigraphical Lasso ICML 2013
Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models ICML 2013
Gaussian Process Vine Copulas for Multivariate Dependence ICML 2013
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NIPS 2013
Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation CVPR 2013
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NIPS 2013
Locally Adaptive Bayesian Multivariate Time Series NIPS 2013
GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013
Efficient Variational Inference for Gaussian Process Regression Networks AISTATS 2013
Fast Near-GRID Gaussian Process Regression AISTATS 2013
ODE parameter inference using adaptive gradient matching with Gaussian processes AISTATS 2013
Deep Gaussian Processes AISTATS 2013
Approximate Gaussian process inference for the drift function in stochastic differential equations NIPS 2013
Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling AISTATS 2012
Collaborative Gaussian Processes for Preference Learning NIPS 2012
Bayesian Warped Gaussian Processes NIPS 2012
A Marginalized Particle Gaussian Process Regression NIPS 2012
Multiresolution Gaussian Processes NIPS 2012
Phoneme Classification using Constrained Variational Gaussian Process Dynamical System NIPS 2012
A Case Study on Meta-Generalising: A Gaussian Processes Approach JMLR 2012
Gaussian Processes for time-marked time-series data AISTATS 2012
Expectation Propagation in Gaussian Process Dynamical Systems NIPS 2012
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression NIPS 2012
PAC-Bayesian Bound for Gaussian Process Regression and Multiple Kernel Additive Model COLT 2012