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kernel ridge regression

111 papers

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Also known as

KRR

Co-occurring keywords

kernel methods (1097) reproducing kernel hilbert space (334) generalization error (285) distributed learning (563) gaussian process (1200) gradient descent (1144) kernel approximation (100) nystrom method (46) convergence rate (607) minimax optimality (76)

Papers

Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel $k$-means Clustering ICML 2019
Sharp Theoretical Analysis for Nonparametric Testing under Random Projection COLT 2019
Sublinear quantum algorithms for training linear and kernel-based classifiers ICML 2019
Efficient online learning with kernels for adversarial large scale problems NIPS 2019
Parallelizing Spectrally Regularized Kernel Algorithms JMLR 2018
UnibucKernel Reloaded: First Place in Arabic Dialect Identification for the Second Year in a Row COLING 2018
Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data ICML 2018
The Geometry of Random Features AISTATS 2018
On Fast Leverage Score Sampling and Optimal Learning NIPS 2018
Memory Efficient Kernel Approximation JMLR 2017
Distributed Semi-supervised Learning with Kernel Ridge Regression JMLR 2017
Hypothesis Transfer Learning via Transformation Functions NIPS 2017
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible ICML 2017
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees ICML 2017
Hyperparameter optimization with approximate gradient ICML 2016
Additive Approximations in High Dimensional Nonparametric Regression via the SALSA ICML 2016
Error Analysis of Generalized Nyström Kernel Regression NIPS 2016
Optimal Learning Rates for Localized SVMs JMLR 2016
Probabilistic Approximate Least-Squares AISTATS 2016
Fast Parameter Inference in Nonlinear Dynamical Systems using Iterative Gradient Matching ICML 2016
Fast DPP Sampling for Nystrom with Application to Kernel Methods ICML 2016
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates JMLR 2015
Fast Randomized Kernel Ridge Regression with Statistical Guarantees NIPS 2015
Less is More: Nyström Computational Regularization NIPS 2015
Fast Prediction for Large-Scale Kernel Machines NIPS 2014