random sampling

Weighted Sampling for Combined Model Selection and Hyperparameter Tuning AAAI 2020 Rehashing Kernel Evaluation in High Dimensions ICML 2019 On Fast Leverage Score Sampling and Optimal Learning NeurIPS 2018 Fitting Low-Rank Tensors in Constant Time NeurIPS 2017 Recovering PCA and Sparse PCA via Hybrid-(l1,l2) Sparse Sampling of Data Elements JMLR 2017 Compressive Spectral Clustering ICML 2016 On Lloyd’s Algorithm: New Theoretical Insights for Clustering in Practice AISTATS 2016 Fast and Memory Optimal Low-Rank Matrix Approximation NeurIPS 2015 Nonlinear Dimensionality Reduction of Data by Deep Distributed Random Samplings ACML 2014 Randomized Max-Margin Compositions for Visual Recognition CVPR 2014 Rapid Distance-Based Outlier Detection via Sampling NeurIPS 2013 Sampling Strategies for Real-Time Action Recognition CVPR 2013 Scalable Simple Random Sampling and Stratified Sampling ICML 2013 Random Conic Pursuit for Semidefinite Programming NeurIPS 2010 One sketch for all: Theory and Application of Conditional Random Sampling NeurIPS 2008 Random Sampling of States in Dynamic Programming NeurIPS 2007 Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data NeurIPS 2006