gaussian process

Nonparametric Mixture of Gaussian Processes with Constraints ICML 2013 ODE parameter inference using adaptive gradient matching with Gaussian processes AISTATS 2013 Optimizing Instructional Policies NeurIPS 2013 Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models JMLR 2013 Scaling Multidimensional Gaussian Processes using Projected Additive Approximations ICML 2013 Topology-Constrained Layered Tracking with Latent Flow ICCV 2013 Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression NeurIPS 2013 A Case Study on Meta-Generalising: A Gaussian Processes Approach JMLR 2012 A Marginalized Particle Gaussian Process Regression NeurIPS 2012 A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function NeurIPS 2012 Bayesian Warped Gaussian Processes NeurIPS 2012 Collaborative Gaussian Processes for Preference Learning NeurIPS 2012 Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling AISTATS 2012 Expectation Propagation in Gaussian Process Dynamical Systems NeurIPS 2012 Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression NeurIPS 2012 Gaussian Processes for time-marked time-series data AISTATS 2012 Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression AISTATS 2012 Kernel Topic Models AISTATS 2012 Learning curves for multi-task Gaussian process regression NeurIPS 2012 Linear Regression With Random Projections JMLR 2012 Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012 Multiresolution Gaussian Processes NeurIPS 2012 Nonparametric Guidance of Autoencoder Representations using Label Information JMLR 2012 Phoneme Classification using Constrained Variational Gaussian Process Dynamical System NeurIPS 2012 Practical Bayesian Optimization of Machine Learning Algorithms NeurIPS 2012