kernel methods

Group Additive Structure Identification for Kernel Nonparametric Regression NeurIPS 2017 Hierarchically Compositional Kernels for Scalable Nonparametric Learning JMLR 2017 Incremental Kernel Null Space Discriminant Analysis for Novelty Detection CVPR 2017 Invariance and Stability of Deep Convolutional Representations NeurIPS 2017 Kernel Feature Selection via Conditional Covariance Minimization NeurIPS 2017 Kernel functions based on triplet comparisons NeurIPS 2017 Kernelized Support Tensor Machines ICML 2017 Kernel Square-Loss Exemplar Machines for Image Retrieval CVPR 2017 Learning Deep Match Kernels for Image-Set Classification CVPR 2017 Learning Infinite Layer Networks Without the Kernel Trick ICML 2017 Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network JMLR 2017 Local Group Invariant Representations via Orbit Embeddings AISTATS 2017 Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization COLT 2017 Magnitude-Preserving Ranking for Structured Outputs ACML 2017 Max-Margin Invariant Features from Transformed Unlabelled Data NeurIPS 2017 Measuring Sample Quality with Kernels ICML 2017 Minimax Density Estimation for Growing Dimension AISTATS 2017 MMD GAN: Towards Deeper Understanding of Moment Matching Network NeurIPS 2017 Modelling Representation Noise in Emotion Analysis using Gaussian Processes IJCNLP 2017 Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression IJCAI 2017 Multiple Indefinite Kernel Learning for Feature Selection IJCAI 2017 Multiple Kernel Clustering Framework with Improved Kernels IJCAI 2017 Multi-Way Multi-Level Kernel Modeling for Neuroimaging Classification CVPR 2017 Nonparametric Online Machine Learning with Kernels IJCAI 2017 Non-Stationary Spectral Kernels NeurIPS 2017