Kernel Methods

Large-scale Online Kernel Learning with Random Feature Reparameterization IJCAI 2017 Learning Deep Match Kernels for Image-Set Classification CVPR 2017 Magnitude-Preserving Ranking for Structured Outputs ACML 2017 Max-Margin Invariant Features from Transformed Unlabelled Data NeurIPS 2017 Memory Efficient Kernel Approximation JMLR 2017 Minimax Estimation of Kernel Mean Embeddings JMLR 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 Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions NeurIPS 2017 Nonparametric Online Machine Learning with Kernels IJCAI 2017 Non-Stationary Spectral Kernels NeurIPS 2017 Online Asymmetric Similarity Learning for Cross-Modal Retrieval CVPR 2017 On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions JMLR 2017 Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space CVPR 2017 Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model EMNLP 2017 Recursive Sampling for the Nystrom Method NeurIPS 2017 Shortest-Path Graph Kernels for Document Similarity EMNLP 2017 Spectral Mixture Kernels for Multi-Output Gaussian Processes NeurIPS 2017 SSN_MLRG1 at SemEval-2017 Task 4: Sentiment Analysis in Twitter Using Multi-Kernel Gaussian Process Classifier SemEval 2017 The Impact of Modeling Overall Argumentation with Tree Kernels EMNLP 2017 Time-Accuracy Tradeoffs in Kernel Prediction: Controlling Prediction Quality JMLR 2017 Uniform Convergence Rates for Kernel Density Estimation ICML 2017 Bayesian optimization for automated model selection NeurIPS 2016 Conditional Generative Moment-Matching Networks NeurIPS 2016