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gaussian process

1200 papers

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Also known as

GP

Co-occurring keywords

variational inference (2069) bayesian optimization (624) bayesian inference (1907) uncertainty quantification (1393) kernel methods (1097) gaussian processes (89) regret bound (1926) active learning (1301) sparse approximation (76) hyperparameter optimization (406)

Papers

Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models ICML 2013
Message passing with l1 penalized KL minimization ICML 2013
Gaussian Process Conditional Copulas with Applications to Financial Time Series NIPS 2013
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NIPS 2013
Gaussian Process Kernels for Pattern Discovery and Extrapolation ICML 2013
Scaling Multidimensional Gaussian Processes using Projected Additive Approximations ICML 2013
Nonparametric Mixture of Gaussian Processes with Constraints ICML 2013
Differential Privacy for Functions and Functional Data JMLR 2013
Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood JMLR 2013
Approximate Gaussian process inference for the drift function in stochastic differential equations NIPS 2013
Bayesian Fusion for Multi-Modal Aerial Images RSS 2013
Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System RSS 2013
Multi-Task Bayesian Optimization NIPS 2013
Bayesian optimization explains human active search NIPS 2013
High-Dimensional Gaussian Process Bandits NIPS 2013
Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NIPS 2013
It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals NIPS 2013
Approximate inference in latent Gaussian-Markov models from continuous time observations NIPS 2013
A Video Representation Using Temporal Superpixels CVPR 2013
CoDeL: A Human Co-detection and Labeling Framework ICCV 2013
GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013
Expensive Function Optimization with Stochastic Binary Outcomes ICML 2013
Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NIPS 2013
Optimizing Instructional Policies NIPS 2013
ODE parameter inference using adaptive gradient matching with Gaussian processes AISTATS 2013