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1706.03665
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Statistical properties of sketching algorithms
12 June 2017
Daniel Ahfock
W. Astle
S. Richardson
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Papers citing
"Statistical properties of sketching algorithms"
14 / 14 papers shown
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 learning
Journal of the American Statistical Association (JASA), 2023
Tengyao Wang
Guang Cheng
M. Gataric
R. Samworth
217
1
0
18 Apr 2023
Error Estimation for Random Fourier Features
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Ju Yao
N. Benjamin Erichson
Miles E. Lopes
174
6
0
22 Feb 2023
Density Regression with Conditional Support Points
Yunlu Chen
N. Zhang
126
0
0
14 Jun 2022
Distributed Sketching for Randomized Optimization: Exact Characterization, Concentration and Lower Bounds
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Burak Bartan
Mert Pilanci
128
7
0
18 Mar 2022
On randomized sketching algorithms and the Tracy-Widom law
Statistics and computing (Stat. Comput.), 2022
Daniel Ahfock
W. Astle
S. Richardson
192
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
158
5
0
15 Jun 2020
Error Estimation for Sketched SVD via the Bootstrap
International Conference on Machine Learning (ICML), 2020
Miles E. Lopes
N. Benjamin Erichson
Michael W. Mahoney
197
11
0
10 Mar 2020
Matrix sketching for supervised classification with imbalanced classes
Data mining and knowledge discovery (DMKD), 2019
Roberta Falcone
A. Montanari
L. Anderlucci
138
4
0
02 Dec 2019
Random projections: data perturbation for classification problems
T. Cannings
237
22
0
25 Nov 2019
Ridge Regression: Structure, Cross-Validation, and Sketching
International Conference on Learning Representations (ICLR), 2019
Sifan Liu
Guang Cheng
CML
377
50
0
06 Oct 2019
Sparse Variational Inference: Bayesian Coresets from Scratch
Neural Information Processing Systems (NeurIPS), 2019
Trevor Campbell
Boyan Beronov
232
39
0
07 Jun 2019
Automated Scalable Bayesian Inference via Hilbert Coresets
Trevor Campbell
Tamara Broderick
244
134
0
13 Oct 2017
Randomized Matrix Decompositions using R
N. Benjamin Erichson
S. Voronin
Steven L. Brunton
J. Nathan Kutz
265
150
0
06 Aug 2016
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