Kernel Methods

Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes NeurIPS 2021 How rotational invariance of common kernels prevents generalization in high dimensions ICML 2021 Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation NeurIPS 2021 Improved Mutual Information Estimation AAAI 2021 Isolation Graph Kernel AAAI 2021 Kernel-Based Reinforcement Learning: A Finite-Time Analysis ICML 2021 Kernel Continual Learning ICML 2021 Kernel Operations on the GPU, with Autodiff, without Memory Overflows JMLR 2021 Kernel Thinning COLT 2021 Large-Scale Learning with Fourier Features and Tensor Decompositions NeurIPS 2021 Learning interaction kernels in heterogeneous systems of agents from multiple trajectories JMLR 2021 Linear and Kernel Classification in the Streaming Model: Improved Bounds for Heavy Hitters NeurIPS 2021 Localized Simple Multiple Kernel K-Means ICCV 2021 Narrow Margins: Classification, Margins and Fat Tails ICML 2021 Nonlinear Data-Enabled Prediction and Control L4DC 2021 Nonparametric estimation of continuous DPPs with kernel methods NeurIPS 2021 On the Equivalence between Neural Network and Support Vector Machine NeurIPS 2021 On the Sample Complexity of Learning under Geometric Stability NeurIPS 2021 Optimal Rates of Distributed Regression with Imperfect Kernels JMLR 2021 Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction ICML 2021 Reproducing kernel Hilbert C*-module and kernel mean embeddings JMLR 2021 Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes ICLR 2021 Structure-Aware Random Fourier Kernel for Graphs NeurIPS 2021 Structured Convolutional Kernel Networks for Airline Crew Scheduling ICML 2021 The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers NeurIPS 2021