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Kernel Methods

571 directly classified papers

Papers per year

Papers

How rotational invariance of common kernels prevents generalization in high dimensions ICML 2021
Kernel Continual Learning ICML 2021
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression ICML 2021
Narrow Margins: Classification, Margins and Fat Tails ICML 2021
Fast Sketching of Polynomial Kernels of Polynomial Degree ICML 2021
The Inductive Bias of Quantum Kernels NIPS 2021
Deep kernel processes ICML 2021
Localized Simple Multiple Kernel K-Means ICCV 2021
Application of kernel hypothesis testing on set-valued data UAI 2021
Reproducing kernel Hilbert C*-module and kernel mean embeddings JMLR 2021
Nonlinear Data-Enabled Prediction and Control L4DC 2021
Kernel-Based Reinforcement Learning: A Finite-Time Analysis ICML 2021
Generalization Properties of hyper-RKHS and its Applications JMLR 2021
GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data IJCAI 2021
On the Equivalence between Neural Network and Support Vector Machine NIPS 2021
Optimal Rates of Distributed Regression with Imperfect Kernels JMLR 2021
Nonparametric estimation of continuous DPPs with kernel methods NIPS 2021
Isolation Graph Kernel AAAI 2021
Structured Convolutional Kernel Networks for Airline Crew Scheduling ICML 2021
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction ICML 2021
Linear and Kernel Classification in the Streaming Model: Improved Bounds for Heavy Hitters NIPS 2021
Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients AAAI 2021
Improved Mutual Information Estimation AAAI 2021
Kernel Operations on the GPU, with Autodiff, without Memory Overflows JMLR 2021
Analyzing the discrepancy principle for kernelized spectral filter learning algorithms JMLR 2021