Papers citing 'Statistical properties of sketching algorithms'

Title
Bayesian Data Sketching for Varying Coefficient Regression Models Rajarshi Guhaniyogi Laura Baracaldo Sudipto Banerjee 140 5 0 30 May 2025
Sharp-SSL: Selective high-dimensional axis-aligned random projections for semi-supervised learningJournal of the American Statistical Association (JASA), 2023 Tengyao Wang Guang Cheng M. Gataric R. Samworth 197 1 0 18 Apr 2023
Error Estimation for Random Fourier FeaturesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Ju Yao N. Benjamin Erichson Miles E. Lopes 156 6 0 22 Feb 2023
Density Regression with Conditional Support Points Yunlu Chen N. Zhang 104 0 0 14 Jun 2022
Distributed Sketching for Randomized Optimization: Exact Characterization, Concentration and Lower BoundsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022 Burak Bartan Mert Pilanci 127 6 0 18 Mar 2022
On randomized sketching algorithms and the Tracy-Widom lawStatistics and computing (Stat. Comput.), 2022 Daniel Ahfock W. Astle S. Richardson 172 1 0 03 Jan 2022
Lower Bounds and a Near-Optimal Shrinkage Estimator for Least Squares using Random Projections Srivatsan Sridhar Mert Pilanci Ayfer Özgür 142 5 0 15 Jun 2020
Error Estimation for Sketched SVD via the BootstrapInternational Conference on Machine Learning (ICML), 2020 Miles E. Lopes N. Benjamin Erichson Michael W. Mahoney 193 11 0 10 Mar 2020
Matrix sketching for supervised classification with imbalanced classesData mining and knowledge discovery (DMKD), 2019 Roberta Falcone A. Montanari L. Anderlucci 131 4 0 02 Dec 2019
Random projections: data perturbation for classification problems T. Cannings 224 22 0 25 Nov 2019
Ridge Regression: Structure, Cross-Validation, and SketchingInternational Conference on Learning Representations (ICLR), 2019 Sifan Liu Guang Cheng CML 369 50 0 06 Oct 2019
Sparse Variational Inference: Bayesian Coresets from ScratchNeural Information Processing Systems (NeurIPS), 2019 Trevor Campbell Boyan Beronov 215 39 0 07 Jun 2019
Automated Scalable Bayesian Inference via Hilbert Coresets Trevor Campbell Tamara Broderick 220 134 0 13 Oct 2017
Randomized Matrix Decompositions using R N. Benjamin Erichson S. Voronin Steven L. Brunton J. Nathan Kutz 264 150 0 06 Aug 2016