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Binary Classification of Gaussian Mixtures: Abundance of Support
  Vectors, Benign Overfitting and Regularization

Binary Classification of Gaussian Mixtures: Abundance of Support Vectors, Benign Overfitting and Regularization

18 November 2020
Ke Wang
Christos Thrampoulidis
ArXivPDFHTML

Papers citing "Binary Classification of Gaussian Mixtures: Abundance of Support Vectors, Benign Overfitting and Regularization"

5 / 5 papers shown
Title
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying
  Bandwidth or Dimensionality
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality
Marko Medvedev
Gal Vardi
Nathan Srebro
59
3
0
05 Sep 2024
Implicit Bias and Fast Convergence Rates for Self-attention
Implicit Bias and Fast Convergence Rates for Self-attention
Bhavya Vasudeva
Puneesh Deora
Christos Thrampoulidis
26
13
0
08 Feb 2024
Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data
Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data
Zhiwei Xu
Yutong Wang
Spencer Frei
Gal Vardi
Wei Hu
MLT
28
23
0
04 Oct 2023
General Loss Functions Lead to (Approximate) Interpolation in High
  Dimensions
General Loss Functions Lead to (Approximate) Interpolation in High Dimensions
Kuo-Wei Lai
Vidya Muthukumar
18
5
0
13 Mar 2023
Information-Theoretic Characterization of the Generalization Error for
  Iterative Semi-Supervised Learning
Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning
Haiyun He
Hanshu Yan
Vincent Y. F. Tan
21
11
0
03 Oct 2021
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