ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2303.15121
  4. Cited By
Learning linear dynamical systems under convex constraints

Learning linear dynamical systems under convex constraints

27 March 2023
Hemant Tyagi
D. Efimov
ArXivPDFHTML

Papers citing "Learning linear dynamical systems under convex constraints"

11 / 11 papers shown
Title
Convex Regression in Multidimensions: Suboptimality of Least Squares
  Estimators
Convex Regression in Multidimensions: Suboptimality of Least Squares Estimators
Gil Kur
Fuchang Gao
Adityanand Guntuboyina
B. Sen
26
14
0
03 Jun 2020
Learning Sparse Dynamical Systems from a Single Sample Trajectory
Learning Sparse Dynamical Systems from a Single Sample Trajectory
Salar Fattahi
Nikolai Matni
Somayeh Sojoudi
63
43
0
20 Apr 2019
Nonparametric Shape-restricted Regression
Nonparametric Shape-restricted Regression
Adityanand Guntuboyina
B. Sen
50
70
0
17 Sep 2017
The generalized Lasso with non-linear observations
The generalized Lasso with non-linear observations
Y. Plan
Roman Vershynin
182
199
0
13 Feb 2015
Convex recovery of a structured signal from independent random linear
  measurements
Convex recovery of a structured signal from independent random linear measurements
J. Tropp
112
176
0
05 May 2014
A new perspective on least squares under convex constraint
A new perspective on least squares under convex constraint
S. Chatterjee
102
117
0
04 Feb 2014
On risk bounds in isotonic and other shape restricted regression
  problems
On risk bounds in isotonic and other shape restricted regression problems
S. Chatterjee
Adityanand Guntuboyina
B. Sen
72
138
0
15 Nov 2013
Large Vector Auto Regressions
Large Vector Auto Regressions
Song Song
Peter J. Bickel
AI4TS
134
183
0
20 Jun 2011
The Convex Geometry of Linear Inverse Problems
The Convex Geometry of Linear Inverse Problems
V. Chandrasekaran
Benjamin Recht
P. Parrilo
A. Willsky
203
1,338
0
03 Dec 2010
Learning Networks of Stochastic Differential Equations
Learning Networks of Stochastic Differential Equations
José Bento
M. Ibrahimi
Andrea Montanari
118
73
0
01 Nov 2010
A Unified Framework for High-Dimensional Analysis of M-Estimators with
  Decomposable Regularizers
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers
S. Negahban
Pradeep Ravikumar
Martin J. Wainwright
Bin Yu
467
1,378
0
13 Oct 2010
1