gaussian processes

Smart Forgetting for Safe Online Learning with Gaussian Processes L4DC 2020 Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction JMLR 2019 Gaussian Processes with Linear Operator Inequality Constraints JMLR 2019 Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts IJCAI 2019 Differentiable Compositional Kernel Learning for Gaussian Processes ICML 2018 Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design ICML 2018 Variational Fourier Features for Gaussian Processes JMLR 2018 A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation JMLR 2017 Bayesian Learning of Dynamic Multilayer Networks JMLR 2017 On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes AISTATS 2016 String and Membrane Gaussian Processes JMLR 2016 Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) ICML 2015 Landmarking Manifolds with Gaussian Processes ICML 2015 Analysis of Brain States from Multi-Region LFP Time-Series NeurIPS 2014 Bayesian optimization explains human active search NeurIPS 2013 Expensive Function Optimization with Stochastic Binary Outcomes ICML 2013 High-Dimensional Gaussian Process Bandits NeurIPS 2013 Multi-Task Bayesian Optimization NeurIPS 2013 A Marginalized Particle Gaussian Process Regression NeurIPS 2012 Bayesian Warped Gaussian Processes NeurIPS 2012 Collaborative Gaussian Processes for Preference Learning NeurIPS 2012 Expectation Propagation in Gaussian Process Dynamical Systems NeurIPS 2012 Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression NeurIPS 2012 Multiresolution Gaussian Processes NeurIPS 2012 Additive Gaussian Processes NeurIPS 2011