gaussian process

Bayesian 3D Tracking from Monocular Video ICCV 2013 Bayesian Fusion for Multi-Modal Aerial Images RSS 2013 Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NeurIPS 2013 Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NeurIPS 2013 Bayesian optimization explains human active search NeurIPS 2013 Characterizing Layouts of Outdoor Scenes Using Spatial Topic Processes ICCV 2013 CoDeL: A Human Co-detection and Labeling Framework ICCV 2013 Deep Gaussian Processes AISTATS 2013 Differential Privacy for Functions and Functional Data JMLR 2013 Distributed Submodular Maximization: Identifying Representative Elements in Massive Data NeurIPS 2013 Efficient Optimization for Sparse Gaussian Process Regression NeurIPS 2013 Efficient Variational Inference for Gaussian Process Regression Networks AISTATS 2013 Expensive Function Optimization with Stochastic Binary Outcomes ICML 2013 Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models ICML 2013 Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System RSS 2013 Gaussian Process Conditional Copulas with Applications to Financial Time Series NeurIPS 2013 Gaussian Process Kernels for Pattern Discovery and Extrapolation ICML 2013 Gaussian Process Vine Copulas for Multivariate Dependence ICML 2013 GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013 High-Dimensional Gaussian Process Bandits NeurIPS 2013 It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals NeurIPS 2013 Locally Adaptive Bayesian Multivariate Time Series NeurIPS 2013 Message passing with l1 penalized KL minimization ICML 2013 Multi-Task Bayesian Optimization NeurIPS 2013 Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood JMLR 2013