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large-scale regression

8 papers

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Co-occurring keywords · papers mentioning both

gaussian process (2) subsampling algorithms (1) randomized hadamard transform (1) numerical linear algebra (1) support vector machine (1) random projection (1) randomized algorithm (1) convergence rate (1) generalized linear model (1) error bound (1)

Papers

Calibrated Computation-Aware Gaussian Processes AISTATS 2025 Histogram Transform Ensembles for Large-scale Regression JMLR 2021 ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions NeurIPS 2021 Bayesian Nonparametric Kernel-Learning AISTATS 2016 Scaled Least Squares Estimator for GLMs in Large-Scale Problems NeurIPS 2016 Distributed Gaussian Processes ICML 2015 New Subsampling Algorithms for Fast Least Squares Regression NeurIPS 2013 Large-scale Linear Support Vector Regression JMLR 2012