Gaussian Processes

ODE parameter inference using adaptive gradient matching with Gaussian processes AISTATS 2013 Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation CVPR 2013 The Bigraphical Lasso ICML 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 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 Learning curves for multi-task Gaussian process regression NeurIPS 2012 Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data AISTATS 2012 Multiresolution Gaussian Processes NeurIPS 2012 PAC-Bayesian Bound for Gaussian Process Regression and Multiple Kernel Additive Model COLT 2012 Phoneme Classification using Constrained Variational Gaussian Process Dynamical System NeurIPS 2012 Practical Bayesian Optimization of Machine Learning Algorithms NeurIPS 2012 Random function priors for exchangeable arrays with applications to graphs and relational data NeurIPS 2012 Real-Time Inverse Dynamics Learning for Musculoskeletal Robots based on Echo State Gaussian Process Regression RSS 2012 Active learning of neural response functions with Gaussian processes NeurIPS 2011 Additive Gaussian Processes NeurIPS 2011 Analytical Results for the Error in Filtering of Gaussian Processes NeurIPS 2011 Contextual Gaussian Process Bandit Optimization NeurIPS 2011