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Quickly Finding the Best Linear Model in High Dimensions

Quickly Finding the Best Linear Model in High Dimensions

3 July 2019
Yahya Sattar
Samet Oymak
ArXivPDFHTML

Papers citing "Quickly Finding the Best Linear Model in High Dimensions"

21 / 21 papers shown
Title
Stochastic Gradient Descent Learns State Equations with Nonlinear
  Activations
Stochastic Gradient Descent Learns State Equations with Nonlinear Activations
Samet Oymak
38
43
0
09 Sep 2018
The Mismatch Principle: The Generalized Lasso Under Large Model
  Uncertainties
The Mismatch Principle: The Generalized Lasso Under Large Model Uncertainties
Martin Genzel
Gitta Kutyniok
18
2
0
20 Aug 2018
The Generalized Lasso for Sub-gaussian Measurements with Dithered
  Quantization
The Generalized Lasso for Sub-gaussian Measurements with Dithered Quantization
Christos Thrampoulidis
A. S. Rawat
MQ
50
30
0
18 Jul 2018
Are ResNets Provably Better than Linear Predictors?
Are ResNets Provably Better than Linear Predictors?
Ohad Shamir
36
54
0
18 Apr 2018
Structured Control Nets for Deep Reinforcement Learning
Structured Control Nets for Deep Reinforcement Learning
Mario Srouji
Jian Zhang
Ruslan Salakhutdinov
54
43
0
22 Feb 2018
Learning Compact Neural Networks with Regularization
Learning Compact Neural Networks with Regularization
Samet Oymak
MLT
66
39
0
05 Feb 2018
On Stein's Identity and Near-Optimal Estimation in High-dimensional
  Index Models
On Stein's Identity and Near-Optimal Estimation in High-dimensional Index Models
Zhuoran Yang
Krishnakumar Balasubramanian
Han Liu
20
15
0
26 Sep 2017
Fast and Reliable Parameter Estimation from Nonlinear Observations
Fast and Reliable Parameter Estimation from Nonlinear Observations
Samet Oymak
Mahdi Soltanolkotabi
137
25
0
23 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
47
85
0
30 May 2016
High-Dimensional Estimation of Structured Signals from Non-Linear
  Observations with General Convex Loss Functions
High-Dimensional Estimation of Structured Signals from Non-Linear Observations with General Convex Loss Functions
Martin Genzel
254
45
0
10 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 2015
Sharp Time--Data Tradeoffs for Linear Inverse Problems
Sharp Time--Data Tradeoffs for Linear Inverse Problems
Samet Oymak
Benjamin Recht
Mahdi Soltanolkotabi
57
88
0
16 Jul 2015
Learning Single Index Models in High Dimensions
Learning Single Index Models in High Dimensions
Ravi Ganti
Nikhil S. Rao
Rebecca Willett
Robert D. Nowak
32
29
0
30 Jun 2015
The LASSO with Non-linear Measurements is Equivalent to One With Linear
  Measurements
The LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements
Christos Thrampoulidis
Ehsan Abbasi
B. Hassibi
65
116
0
06 Jun 2015
Supersparse Linear Integer Models for Optimized Medical Scoring Systems
Supersparse Linear Integer Models for Optimized Medical Scoring Systems
Berk Ustun
Cynthia Rudin
73
352
0
15 Feb 2015
The generalized Lasso with non-linear observations
The generalized Lasso with non-linear observations
Y. Plan
Roman Vershynin
139
199
0
13 Feb 2015
An Introduction to Matrix Concentration Inequalities
An Introduction to Matrix Concentration Inequalities
J. Tropp
93
1,139
0
07 Jan 2015
Estimation in high dimensions: a geometric perspective
Estimation in high dimensions: a geometric perspective
Roman Vershynin
91
134
0
20 May 2014
High-dimensional estimation with geometric constraints
High-dimensional estimation with geometric constraints
Y. Plan
Roman Vershynin
E. Yudovina
132
144
0
14 Apr 2014
Robust 1-bit compressed sensing and sparse logistic regression: A convex
  programming approach
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach
Y. Plan
Roman Vershynin
180
457
0
06 Feb 2012
The Convex Geometry of Linear Inverse Problems
The Convex Geometry of Linear Inverse Problems
V. Chandrasekaran
Benjamin Recht
P. Parrilo
A. Willsky
158
1,338
0
03 Dec 2010
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