kernel learning

Localized Incomplete Multiple Kernel k-means IJCAI 2018 Multi-Class Learning: From Theory to Algorithm NeurIPS 2018 Multi-task {K}ernel {L}earning Based on {P}robabilistic {L}ipschitzness ALT 2018 Not-So-Random Features ICLR 2018 Scaling Gaussian Process Regression with Derivatives NeurIPS 2018 To Understand Deep Learning We Need to Understand Kernel Learning ICML 2018 Batched High-dimensional Bayesian Optimization via Structural Kernel Learning ICML 2017 Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning ACL 2017 Distributed Learning with Regularized Least Squares JMLR 2017 From which world is your graph NeurIPS 2017 Matching on Balanced Nonlinear Representations for Treatment Effects Estimation NeurIPS 2017 Multiple Kernel Clustering Framework with Improved Kernels IJCAI 2017 Scalable Log Determinants for Gaussian Process Kernel Learning NeurIPS 2017 Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series ICML 2016 Bayesian Nonparametric Kernel-Learning AISTATS 2016 End-to-End Kernel Learning with Supervised Convolutional Kernel Networks NeurIPS 2016 Learning Kernels with Random Features NeurIPS 2016 Supervised Learning with Tensor Networks NeurIPS 2016 Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition JMLR 2016 A la Carte – Learning Fast Kernels AISTATS 2015 Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods ICML 2015 Fixed-point algorithms for learning determinantal point processes ICML 2015 Inference for determinantal point processes without spectral knowledge NeurIPS 2015 Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) ICML 2015 On the Complexity of Learning with Kernels COLT 2015