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. 1310.1826
  4. Cited By
Learning Non-Parametric Basis Independent Models from Point Queries via
  Low-Rank Methods
v1v2 (latest)

Learning Non-Parametric Basis Independent Models from Point Queries via Low-Rank Methods

7 October 2013
Hemant Tyagi
Volkan Cevher
ArXiv (abs)PDFHTML

Papers citing "Learning Non-Parametric Basis Independent Models from Point Queries via Low-Rank Methods"

7 / 7 papers shown
Title
Sparsity in multiple kernel learning
Sparsity in multiple kernel learning
V. Koltchinskii
M. Yuan
223
191
0
13 Nov 2012
Minimax-optimal rates for sparse additive models over kernel classes via
  convex programming
Minimax-optimal rates for sparse additive models over kernel classes via convex programming
Garvesh Raskutti
Martin J. Wainwright
Bin Yu
159
287
0
21 Aug 2010
Learning Functions of Few Arbitrary Linear Parameters in High Dimensions
Learning Functions of Few Arbitrary Linear Parameters in High Dimensions
M. Fornasier
Karin Schnass
J. Vybíral
133
100
0
18 Aug 2010
Guaranteed Rank Minimization via Singular Value Projection
Guaranteed Rank Minimization via Singular Value Projection
Raghu Meka
Prateek Jain
Inderjit S. Dhillon
210
554
0
30 Sep 2009
High-dimensional additive modeling
High-dimensional additive modeling
L. Meier
Sara van de Geer
Peter Buhlmann
381
481
0
25 Jun 2008
Sparse Additive Models
Sparse Additive Models
Pradeep Ravikumar
John D. Lafferty
Han Liu
Larry A. Wasserman
506
573
0
28 Nov 2007
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear
  Norm Minimization
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
Benjamin Recht
Maryam Fazel
P. Parrilo
424
3,773
0
28 Jun 2007
1