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gaussian processes

89 papers

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GP GPR GPS PGP

Co-occurring keywords

gaussian process (1198) variational inference (2069) bayesian inference (1904) bayesian optimization (623) sparse approximation (76) kernel methods (1096) active learning (1295) markov chain monte carlo (724) expectation propagation (86) bayesian regression (25)

Papers

Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract) IJCAI 2020
Generalized probabilistic principal component analysis of correlated data JMLR 2020
Conjugate Gradients for Kernel Machines JMLR 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
Variational Fourier Features for Gaussian Processes JMLR 2018
Differentiable Compositional Kernel Learning for Gaussian Processes ICML 2018
Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design ICML 2018
Bayesian Learning of Dynamic Multilayer Networks JMLR 2017
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation JMLR 2017
String and Membrane Gaussian Processes JMLR 2016
On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes AISTATS 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 NIPS 2014
Bayesian optimization explains human active search NIPS 2013
Multi-Task Bayesian Optimization NIPS 2013
High-Dimensional Gaussian Process Bandits NIPS 2013
Expensive Function Optimization with Stochastic Binary Outcomes ICML 2013
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression NIPS 2012
Multiresolution Gaussian Processes NIPS 2012
A Marginalized Particle Gaussian Process Regression NIPS 2012
Collaborative Gaussian Processes for Preference Learning NIPS 2012
Bayesian Warped Gaussian Processes NIPS 2012