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Kernel Methods

642 papers

Papers per year

9
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20
31
19
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Papers

Double Machine Learning Density Estimation for Local Treatment Effects with Instruments NIPS 2021
On the Equivalence between Neural Network and Support Vector Machine NIPS 2021
Nonparametric estimation of continuous DPPs with kernel methods NIPS 2021
Effective Meta-Regularization by Kernelized Proximal Regularization NIPS 2021
Hierarchical Multiple Kernel Clustering AAAI 2021
Improved Mutual Information Estimation AAAI 2021
Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients AAAI 2021
Isolation Graph Kernel AAAI 2021
Kernel Thinning COLT 2021
Localized Simple Multiple Kernel K-Means ICCV 2021
Deep kernel processes ICML 2021
Narrow Margins: Classification, Margins and Fat Tails ICML 2021
Kernel Continual Learning ICML 2021
Kernel-Based Reinforcement Learning: A Finite-Time Analysis ICML 2021
How rotational invariance of common kernels prevents generalization in high dimensions ICML 2021
Active Slices for Sliced Stein Discrepancy ICML 2021
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction ICML 2021
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression ICML 2021
Fast Sketching of Polynomial Kernels of Polynomial Degree ICML 2021
Structured Convolutional Kernel Networks for Airline Crew Scheduling ICML 2021
Distributed Nyström Kernel Learning with Communications ICML 2021
GSPL: A Succinct Kernel Model for Group-Sparse Projections Learning of Multiview Data IJCAI 2021
Domain Generalization by Marginal Transfer Learning JMLR 2021
Entangled Kernels - Beyond Separability JMLR 2021
Learning interaction kernels in heterogeneous systems of agents from multiple trajectories JMLR 2021