Gaussian Processes

Probabilistic ODE Solvers with Runge-Kutta Means NeurIPS 2014 Sample Efficient Reinforcement Learning with Gaussian Processes ICML 2014 Scalable Collaborative Bayesian Preference Learning AISTATS 2014 Sparse Bayesian structure learning with “dependent relevance determination” priors NeurIPS 2014 Tilted Variational Bayes AISTATS 2014 Tree-structured Gaussian Process Approximations NeurIPS 2014 Variational Gaussian Process State-Space Models NeurIPS 2014 Active Learning for Multi-Objective Optimization ICML 2013 Active Visual Recognition with Expertise Estimation in Crowdsourcing ICCV 2013 Approximate Gaussian process inference for the drift function in stochastic differential equations NeurIPS 2013 Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC NeurIPS 2013 Bayesian optimization explains human active search NeurIPS 2013 BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NeurIPS 2013 Deep Gaussian Processes AISTATS 2013 Efficient Optimization for Sparse Gaussian Process Regression NeurIPS 2013 Efficient Variational Inference for Gaussian Process Regression Networks AISTATS 2013 Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models ICML 2013 Fast Near-GRID Gaussian Process Regression AISTATS 2013 Gaussian Process Conditional Copulas with Applications to Financial Time Series NeurIPS 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 Multi-Task Bayesian Optimization NeurIPS 2013