Kernel Methods

Clustering Induced Kernel Learning ACML 2018 Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces NeurIPS 2018 Empirical Risk Minimization Under Fairness Constraints NeurIPS 2018 Fast Cross-Validation IJCAI 2018 Fast Factorization-free Kernel Learning for Unlabeled Chunk Data Streams IJCAI 2018 Fusing Crowd Density Maps and Visual Object Trackers for People Tracking in Crowd Scenes CVPR 2018 High-Speed Tracking With Multi-Kernel Correlation Filters CVPR 2018 Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set EMNLP 2018 KELP: a Kernel-based Learning Platform JMLR 2018 Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions JMLR 2018 Kernel Method for Persistence Diagrams via Kernel Embedding and Weight Factor JMLR 2018 Learning and Inference in Hilbert Space with Quantum Graphical Models NeurIPS 2018 Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels NeurIPS 2018 Learning in Reproducing Kernel Kreı̆n Spaces ICML 2018 Localized Incomplete Multiple Kernel k-means IJCAI 2018 Multi-Class Learning: From Theory to Algorithm NeurIPS 2018 Non-Linear Temporal Subspace Representations for Activity Recognition CVPR 2018 Not-So-Random Features ICLR 2018 Online Kernel Selection via Incremental Sketched Kernel Alignment IJCAI 2018 Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate NeurIPS 2018 Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams NeurIPS 2018 Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions EMNLP 2018 Quadrature-based features for kernel approximation NeurIPS 2018 Relating Leverage Scores and Density using Regularized Christoffel Functions NeurIPS 2018 RetGK: Graph Kernels based on Return Probabilities of Random Walks NeurIPS 2018