sparse approximation

Multiresolution Kernel Approximation for Gaussian Process Regression NeurIPS 2017 Sparse Approximate Conic Hulls NeurIPS 2017 Streaming Sparse Gaussian Process Approximations NeurIPS 2017 Tight Bounds for Approximate Carathéodory and Beyond ICML 2017 Incremental Variational Sparse Gaussian Process Regression NeurIPS 2016 Leveraging Sparsity for Efficient Submodular Data Summarization NeurIPS 2016 On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes AISTATS 2016 Understanding Probabilistic Sparse Gaussian Process Approximations NeurIPS 2016 Wavelet decompositions of Random Forests - smoothness analysis, sparse approximation and applications JMLR 2016 MCMC for Variationally Sparse Gaussian Processes NeurIPS 2015 pyGPs -- A Python Library for Gaussian Process Regression and Classification JMLR 2015 Scalable Inference for Gaussian Process Models with Black-Box Likelihoods NeurIPS 2015 Sparse Variational Inference for Generalized GP Models ICML 2015 Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models NeurIPS 2014 Fast Allocation of Gaussian Process Experts ICML 2014 Incremental Local Gaussian Regression NeurIPS 2014 Multiresolution Matrix Factorization ICML 2014 Efficient Optimization for Sparse Gaussian Process Regression NeurIPS 2013 Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System RSS 2013 GPstuff: Bayesian Modeling with Gaussian Processes JMLR 2013 Near-Optimal Entrywise Sampling for Data Matrices NeurIPS 2013 Forward Basis Selection for Sparse Approximation over Dictionary AISTATS 2012 Multiresolution analysis on the symmetric group NeurIPS 2012 Sparse Approximate Manifolds for Differential Geometric MCMC NeurIPS 2012 Value Pursuit Iteration NeurIPS 2012