← Core Methods
Machine Learning › Core Methods ›

Kernel Methods

571 directly classified papers

Papers per year

Papers

Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression AISTATS 2022
The Teaching Dimension of Regularized Kernel Learners ICML 2022
Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more ICML 2022
Functional Output Regression with Infimal Convolution: Exploring the Huber and $ε$-insensitive Losses ICML 2022
Additive Gaussian Processes Revisited ICML 2022
Sharp Analysis of Random Fourier Features in Classification AAAI 2022
Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data ICML 2022
Adversarially Robust Kernel Smoothing AISTATS 2022
A Perturbation-Based Kernel Approximation Framework JMLR 2022
Fast Graph Neural Tangent Kernel via Kronecker Sketching AAAI 2022
TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial Inclusion AAAI 2022
Sentiment Analysis on Code-Switched Dravidian Languages with Kernel Based Extreme Learning Machines ACL 2022
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning ICML 2022
Kernelized Few-Shot Object Detection With Efficient Integral Aggregation CVPR 2022
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs ICML 2022
Measuring the robustness of Gaussian processes to kernel choice AISTATS 2022
Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit AISTATS 2022
Signature Moments to Characterize Laws of Stochastic Processes JMLR 2022
Naming the Most Anomalous Cluster in Hilbert Space for Structures with Attribute Information AAAI 2022
Early Stopping for Iterative Regularization with General Loss Functions JMLR 2022
Gauss-Legendre Features for Gaussian Process Regression JMLR 2022
Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics AISTATS 2022
Statistical Optimality and Computational Efficiency of Nystrom Kernel PCA JMLR 2022
Adaptive Greedy Algorithm for Moderately Large Dimensions in Kernel Conditional Density Estimation JMLR 2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels AAAI 2022