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. 1708.00430
  4. Cited By
Breaking the curse of dimensionality in regression

Breaking the curse of dimensionality in regression

1 August 2017
Yinchu Zhu
Jelena Bradic
ArXivPDFHTML

Papers citing "Breaking the curse of dimensionality in regression"

5 / 5 papers shown
Title
Inference on Optimal Dynamic Policies via Softmax Approximation
Inference on Optimal Dynamic Policies via Softmax Approximation
Qizhao Chen
Morgane Austern
Vasilis Syrgkanis
OffRL
36
1
0
08 Mar 2023
Minimax Semiparametric Learning With Approximate Sparsity
Minimax Semiparametric Learning With Approximate Sparsity
Jelena Bradic
Victor Chernozhukov
Whitney Newey
Yinchu Zhu
50
21
0
27 Dec 2019
Automatic Debiased Machine Learning of Causal and Structural Effects
Automatic Debiased Machine Learning of Causal and Structural Effects
Victor Chernozhukov
Whitney Newey
Rahul Singh
CML
AI4CE
24
103
0
14 Sep 2018
A modern maximum-likelihood theory for high-dimensional logistic
  regression
A modern maximum-likelihood theory for high-dimensional logistic regression
Pragya Sur
Emmanuel J. Candes
25
285
0
19 Mar 2018
Hypothesis Testing in High-Dimensional Regression under the Gaussian
  Random Design Model: Asymptotic Theory
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory
Adel Javanmard
Andrea Montanari
115
160
0
17 Jan 2013
1