Ke Wang

Orcid: 0000-0003-4501-5102

Affiliations:
  • University of California Santa Barbara, Department of Statistics and Applied Probability, CA, USA


According to our database1, Ke Wang authored at least 5 papers between 2021 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Learning Gaussian graphical models with latent confounders.
J. Multivar. Anal., 2023

2022
Binary Classification of Gaussian Mixtures: Abundance of Support Vectors, Benign Overfitting, and Regularization.
SIAM J. Math. Data Sci., 2022

On how to avoid exacerbating spurious correlations when models are overparameterized.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2021
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Benign Overfitting in Binary Classification of Gaussian Mixtures.
Proceedings of the IEEE International Conference on Acoustics, 2021


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