Gaussian Processes

Deep Neural Networks as Gaussian Processes ICLR 2018 Probabilistic Linear Multistep Methods NeurIPS 2016 Probing the Compositionality of Intuitive Functions NeurIPS 2016 The Human Kernel NeurIPS 2015 Analysis of Brain States from Multi-Region LFP Time-Series NeurIPS 2014 Extended and Unscented Gaussian Processes NeurIPS 2014 Gaussian Process Volatility Model NeurIPS 2014 Incremental Local Gaussian Regression NeurIPS 2014 Probabilistic ODE Solvers with Runge-Kutta Means NeurIPS 2014 Tree-structured Gaussian Process Approximations NeurIPS 2014 Bayesian optimization explains human active search NeurIPS 2013 Locally Adaptive Bayesian Multivariate Time Series NeurIPS 2013 Optimizing Instructional Policies NeurIPS 2013 Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NeurIPS 2013 Σ-Optimality for Active Learning on Gaussian Random Fields NeurIPS 2013 Learning curves for multi-task Gaussian process regression NeurIPS 2012 Multiresolution Gaussian Processes NeurIPS 2012 Active learning of neural response functions with Gaussian processes NeurIPS 2011 Additive Gaussian Processes NeurIPS 2011 Information Rates and Optimal Decoding in Large Neural Populations NeurIPS 2011 Nonlinear Inverse Reinforcement Learning with Gaussian Processes NeurIPS 2011 Optimal Reinforcement Learning for Gaussian Systems NeurIPS 2011 Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations NeurIPS 2011 Approximate inference in continuous time Gaussian-Jump processes NeurIPS 2010 Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NeurIPS 2010