kernel methods

Regularization via Mass Transportation JMLR 2019 Rehashing Kernel Evaluation in High Dimensions ICML 2019 SAX Breakpoints for Random Forest Based Real-Time Contrast Control Chart AAAI 2019 Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds JMLR 2019 Similarity Learning via Kernel Preserving Embedding AAAI 2019 Sobolev Independence Criterion NeurIPS 2019 Solving Interpretable Kernel Dimensionality Reduction NeurIPS 2019 Stochastic Bandits with Context Distributions NeurIPS 2019 Sublinear quantum algorithms for training linear and kernel-based classifiers ICML 2019 Supervised Set-to-Set Hashing in Visual Recognition IJCAI 2019 Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel k-means Clustering ICML 2019 Towards a Unified Analysis of Random Fourier Features ICML 2019 Transformer Dissection: An Unified Understanding for Transformer’s Attention via the Lens of Kernel EMNLP 2019 What Can ResNet Learn Efficiently, Going Beyond Kernels? NeurIPS 2019 A Deeper Look at Power Normalizations CVPR 2018 Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation CVPR 2018 An Efficient and Effective Generic Agglomerative Hierarchical Clustering Approach JMLR 2018 A Stein variational Newton method NeurIPS 2018 Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments CoRL 2018 Bayesian Generalized Kernel Inference for Terrain Traversability Mapping CoRL 2018 Causal Inference via Kernel Deviance Measures NeurIPS 2018 Characteristic and Universal Tensor Product Kernels JMLR 2018 Clustering Induced Kernel Learning ACML 2018 Compact Convex Projections JMLR 2018 Compact Generalized Non-local Network NeurIPS 2018