kernel methods

Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine AAAI 2019 Correlation Congruence for Knowledge Distillation ICCV 2019 Correlations between Word Vector Sets EMNLP 2019 Data-Adaptive Metric Learning with Scale Alignment AAAI 2019 Deep Convolutional Networks as shallow Gaussian Processes ICLR 2019 Distributionally Robust Optimization and Generalization in Kernel Methods NeurIPS 2019 Efficient Online Learning for Mapping Kernels on Linguistic Structures AAAI 2019 Explicit Spatial Encoding for Deep Local Descriptors CVPR 2019 Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions UAI 2019 Fast-deepKCF Without Boundary Effect ICCV 2019 Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks ICML 2019 Flexible Multi-View Representation Learning for Subspace Clustering IJCAI 2019 Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels NeurIPS 2019 Harmonizable mixture kernels with variational Fourier features AISTATS 2019 How do infinite width bounded norm networks look in function space? COLT 2019 Incremental Randomized Sketching for Online Kernel Learning ICML 2019 Ivanov-Regularised Least-Squares Estimators over Large RKHSs and Their Interpolation Spaces JMLR 2019 KerGM: Kernelized Graph Matching NeurIPS 2019 Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods NeurIPS 2019 Kernel-Based Reinforcement Learning in Robust Markov Decision Processes ICML 2019 Kernel Instrumental Variable Regression NeurIPS 2019 Kernelized Hashcode Representations for Relation Extraction AAAI 2019 Kernel Machines Beat Deep Neural Networks on Mask-Based Single-Channel Speech Enhancement Interspeech 2019 Kernel quadrature with DPPs NeurIPS 2019 Kernels for Sequentially Ordered Data JMLR 2019