ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1907.03411
  4. Cited By
Unbiased estimators for random design regression
v1v2 (latest)

Unbiased estimators for random design regression

Journal of machine learning research (JMLR), 2019
8 July 2019
Michal Derezinski
Manfred K. Warmuth
Daniel J. Hsu
ArXiv (abs)PDFHTML

Papers citing "Unbiased estimators for random design regression"

9 / 9 papers shown
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence
A Family of Distributions of Random Subsets for Controlling Positive and Negative DependenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Sangwoo Shin
H. Hino
392
1
0
02 Aug 2024
Weighted least-squares approximation with determinantal point processes and generalized volume sampling
Weighted least-squares approximation with determinantal point processes and generalized volume sampling
A. Nouy
Bertrand Michel
432
5
0
21 Dec 2023
Algorithmic Gaussianization through Sketching: Converting Data into
  Sub-gaussian Random Designs
Algorithmic Gaussianization through Sketching: Converting Data into Sub-gaussian Random DesignsAnnual Conference Computational Learning Theory (COLT), 2022
Michal Derezinski
350
6
0
21 Jun 2022
Query Complexity of Least Absolute Deviation Regression via Robust
  Uniform Convergence
Query Complexity of Least Absolute Deviation Regression via Robust Uniform ConvergenceAnnual Conference Computational Learning Theory (COLT), 2021
Xue Chen
Michal Derezinski
334
33
0
03 Feb 2021
Sparse sketches with small inversion bias
Sparse sketches with small inversion biasAnnual Conference Computational Learning Theory (COLT), 2020
Michal Derezinski
Zhenyu Liao
Guang Cheng
Michael W. Mahoney
515
25
0
21 Nov 2020
On proportional volume sampling for experimental design in general
  spaces
On proportional volume sampling for experimental design in general spaces
Arnaud Poinas
Rémi Bardenet
368
5
0
09 Nov 2020
Determinantal Point Processes in Randomized Numerical Linear Algebra
Determinantal Point Processes in Randomized Numerical Linear Algebra
Michal Derezinski
Michael W. Mahoney
281
93
0
07 May 2020
Kernel interpolation with continuous volume sampling
Kernel interpolation with continuous volume samplingInternational Conference on Machine Learning (ICML), 2020
Ayoub Belhadji
Rémi Bardenet
P. Chainais
182
26
0
22 Feb 2020
Exact expressions for double descent and implicit regularization via
  surrogate random design
Exact expressions for double descent and implicit regularization via surrogate random designNeural Information Processing Systems (NeurIPS), 2019
Michal Derezinski
Feynman T. Liang
Michael W. Mahoney
414
79
0
10 Dec 2019
1
Page 1 of 1