kernel methods

The Weighted Kendall and High-order Kernels for Permutations ICML 2018 Trainable Calibration Measures for Neural Networks from Kernel Mean Embeddings ICML 2018 UnibucKernel: A kernel-based learning method for complex word identification NAACL 2018 Zero-Shot Kernel Learning CVPR 2018 Adapting Kernel Representations Online Using Submodular Maximization ICML 2017 A Framework for Optimal Matching for Causal Inference AISTATS 2017 A Functional Dynamic Boltzmann Machine IJCAI 2017 A Linear-Time Kernel Goodness-of-Fit Test NeurIPS 2017 A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings ACML 2017 An Empirical Study on The Properties of Random Bases for Kernel Methods NeurIPS 2017 Asymmetric Feature Maps With Application to Sketch Based Retrieval CVPR 2017 Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping CoRL 2017 Beyond the Nystrom Approximation: Speeding up Spectral Clustering using Uniform Sampling and Weighted Kernel k-means IJCAI 2017 Deep Learning in Semantic Kernel Spaces ACL 2017 Density Estimation in Infinite Dimensional Exponential Families JMLR 2017 Distributed Learning with Regularized Least Squares JMLR 2017 Diverse Neural Network Learns True Target Functions AISTATS 2017 Diving into the shallows: a computational perspective on large-scale shallow learning NeurIPS 2017 Early stopping for kernel boosting algorithms: A general analysis with localized complexities NeurIPS 2017 Efficient Kernel Selection via Spectral Analysis IJCAI 2017 Empirical Evaluation of Resampling Procedures for Optimising SVM Hyperparameters JMLR 2017 FALKON: An Optimal Large Scale Kernel Method NeurIPS 2017 From which world is your graph NeurIPS 2017 Gaussian Quadrature for Kernel Features NeurIPS 2017 Generalization Properties of Learning with Random Features NeurIPS 2017