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. 2111.07041
  4. Cited By
Minimax Supervised Clustering in the Anisotropic Gaussian Mixture Model:
  A new take on Robust Interpolation

Minimax Supervised Clustering in the Anisotropic Gaussian Mixture Model: A new take on Robust Interpolation

13 November 2021
Stanislav Minsker
M. Ndaoud
Yiqiu Shen
ArXivPDFHTML

Papers citing "Minimax Supervised Clustering in the Anisotropic Gaussian Mixture Model: A new take on Robust Interpolation"

2 / 2 papers shown
Title
Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering
  Error in Sub-Exponential Mixture Models
Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models
Maximilien Dreveton
Alperen Gozeten
Matthias Grossglauser
Patrick Thiran
24
0
0
23 Feb 2024
Interpolating Discriminant Functions in High-Dimensional Gaussian Latent
  Mixtures
Interpolating Discriminant Functions in High-Dimensional Gaussian Latent Mixtures
Xin Bing
M. Wegkamp
16
1
0
25 Oct 2022
1