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. 1611.06686
  4. Cited By
Scalable Approximations for Generalized Linear Problems

Scalable Approximations for Generalized Linear Problems

21 November 2016
Murat A. Erdogdu
Mohsen Bayati
Lee H. Dicker
ArXivPDFHTML

Papers citing "Scalable Approximations for Generalized Linear Problems"

6 / 6 papers shown
Title
Gradient-Based Feature Learning under Structured Data
Gradient-Based Feature Learning under Structured Data
Alireza Mousavi-Hosseini
Denny Wu
Taiji Suzuki
Murat A. Erdogdu
MLT
39
18
0
07 Sep 2023
Neural Networks Efficiently Learn Low-Dimensional Representations with
  SGD
Neural Networks Efficiently Learn Low-Dimensional Representations with SGD
Alireza Mousavi-Hosseini
Sejun Park
M. Girotti
Ioannis Mitliagkas
Murat A. Erdogdu
MLT
324
48
0
29 Sep 2022
On Model Selection Consistency of Lasso for High-Dimensional Ising
  Models
On Model Selection Consistency of Lasso for High-Dimensional Ising Models
Xiangming Meng
T. Obuchi
Y. Kabashima
30
1
0
16 Oct 2021
Convergence Rates of Stochastic Gradient Descent under Infinite Noise
  Variance
Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance
Hongjian Wang
Mert Gurbuzbalaban
Lingjiong Zhu
Umut cSimcsekli
Murat A. Erdogdu
21
41
0
20 Feb 2021
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
Weijie Su
Emmanuel Candes
65
145
0
29 Mar 2015
Dimension reduction for nonelliptically distributed predictors
Dimension reduction for nonelliptically distributed predictors
Bing Li
Yuexiao Dong
59
114
0
24 Apr 2009
1