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Randomized Sketches of Convex Programs with Sharp Guarantees

Randomized Sketches of Convex Programs with Sharp Guarantees

29 April 2014
Mert Pilanci
Martin J. Wainwright
ArXivPDFHTML

Papers citing "Randomized Sketches of Convex Programs with Sharp Guarantees"

21 / 21 papers shown
Title
Statistical Analysis of Karcher Means for Random Restricted PSD Matrices
Statistical Analysis of Karcher Means for Random Restricted PSD Matrices
Hengchao Chen
Xiang Li
Qiang Sun
8
1
0
24 Feb 2023
Accelerating Plug-and-Play Image Reconstruction via Multi-Stage Sketched
  Gradients
Accelerating Plug-and-Play Image Reconstruction via Multi-Stage Sketched Gradients
Junqi Tang
16
2
0
14 Mar 2022
Distributed Sparse Multicategory Discriminant Analysis
Distributed Sparse Multicategory Discriminant Analysis
Hengchao Chen
Qiang Sun
18
1
0
22 Feb 2022
Equivariance Regularization for Image Reconstruction
Equivariance Regularization for Image Reconstruction
Junqi Tang
19
2
0
10 Feb 2022
Provable Continual Learning via Sketched Jacobian Approximations
Provable Continual Learning via Sketched Jacobian Approximations
Reinhard Heckel
CLL
18
9
0
09 Dec 2021
Fast Multi-label Learning
Fast Multi-label Learning
Xiuwen Gong
Dong Yuan
Wei Bao
14
3
0
31 Aug 2021
Sparse sketches with small inversion bias
Sparse sketches with small inversion bias
Michal Derezinski
Zhenyu Liao
Edgar Dobriban
Michael W. Mahoney
15
21
0
21 Nov 2020
Effective Dimension Adaptive Sketching Methods for Faster Regularized
  Least-Squares Optimization
Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares Optimization
Jonathan Lacotte
Mert Pilanci
27
23
0
10 Jun 2020
How to reduce dimension with PCA and random projections?
How to reduce dimension with PCA and random projections?
Fan Yang
Sifan Liu
Edgar Dobriban
David P. Woodruff
22
28
0
01 May 2020
Optimal Randomized First-Order Methods for Least-Squares Problems
Optimal Randomized First-Order Methods for Least-Squares Problems
Jonathan Lacotte
Mert Pilanci
17
30
0
21 Feb 2020
Distributed Sketching Methods for Privacy Preserving Regression
Distributed Sketching Methods for Privacy Preserving Regression
Burak Bartan
Mert Pilanci
19
11
0
16 Feb 2020
Optimal Iterative Sketching with the Subsampled Randomized Hadamard
  Transform
Optimal Iterative Sketching with the Subsampled Randomized Hadamard Transform
Jonathan Lacotte
Sifan Liu
Edgar Dobriban
Mert Pilanci
19
8
0
03 Feb 2020
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance
  Sketching
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching
Anru R. Zhang
Yuetian Luo
Garvesh Raskutti
M. Yuan
25
44
0
09 Nov 2019
High-Dimensional Optimization in Adaptive Random Subspaces
High-Dimensional Optimization in Adaptive Random Subspaces
Jonathan Lacotte
Mert Pilanci
Marco Pavone
25
16
0
27 Jun 2019
Learning Compact Neural Networks with Regularization
Learning Compact Neural Networks with Regularization
Samet Oymak
MLT
30
39
0
05 Feb 2018
Sketching the order of events
Sketching the order of events
Terry Lyons
Harald Oberhauser
17
5
0
31 Aug 2017
Sketching Meets Random Projection in the Dual: A Provable Recovery
  Algorithm for Big and High-dimensional Data
Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data
Jialei Wang
J. Lee
M. Mahdavi
Mladen Kolar
Nathan Srebro
13
50
0
10 Oct 2016
Tradeoffs between Convergence Speed and Reconstruction Accuracy in
  Inverse Problems
Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems
Raja Giryes
Yonina C. Eldar
A. Bronstein
Guillermo Sapiro
12
85
0
30 May 2016
SUIS: An Online Graphical Signature-Based User Identification System
SUIS: An Online Graphical Signature-Based User Identification System
Séamus Lankford
16
7
0
29 May 2016
Universality laws for randomized dimension reduction, with applications
Universality laws for randomized dimension reduction, with applications
Samet Oymak
J. Tropp
49
109
0
30 Nov 2015
Newton Sketch: A Linear-time Optimization Algorithm with
  Linear-Quadratic Convergence
Newton Sketch: A Linear-time Optimization Algorithm with Linear-Quadratic Convergence
Mert Pilanci
Martin J. Wainwright
24
268
0
09 May 2015
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