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random subspace

9 papers

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Co-occurring keywords · papers mentioning both

kernel methods (3) support vector machine (2) locality sensitive hashing (2) empirical risk minimization (2) feature selection (2) convex optimization (2) ensemble learning (2) sparse classification (1) misclassification rate (1) feature vector (1)

Papers

The Nyström method for convex loss functions JMLR 2024 A Randomized Subspace-based Approach for Dimensionality Reduction and Important Variable Selection JMLR 2023 RaSE: Random Subspace Ensemble Classification JMLR 2021 Regularized ERM on random subspaces AISTATS 2021 High-Dimensional Optimization in Adaptive Random Subspaces NeurIPS 2019 Kernelized Hashcode Representations for Relation Extraction AAAI 2019 Large-Scale Speaker Retrieval on Random Speaker Variability Subspace Interspeech 2019 The Kelly Growth Optimal Portfolio with Ensemble Learning AAAI 2019 Random Subspace with Trees for Feature Selection Under Memory Constraints AISTATS 2018