| Benign overfitting in multiclass classification: All roads lead to interpolation K Wang, V Muthukumar, C Thrampoulidis Advances in Neural Information Processing Systems 34, 24164-24179, 2021 | 58 | 2021 |
| Benign overfitting in binary classification of gaussian mixtures K Wang, C Thrampoulidis ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 44 | 2021 |
| Binary Classification of Gaussian Mixtures: Abundance of Support Vectors, Benign Overfitting, and Regularization K Wang, C Thrampoulidis SIAM Journal on Mathematics of Data Science 4 (1), 260-284, 2022 | 40 | 2022 |
| Learning Gaussian graphical models with latent confounders K Wang, A Franks, SY Oh Journal of Multivariate Analysis 198, 105213, 2023 | 3 | 2023 |
| On how to avoid exacerbating spurious correlations when models are overparameterized T Behnia, K Wang, C Thrampoulidis 2022 IEEE International Symposium on Information Theory (ISIT), 121-126, 2022 | 3 | 2022 |
| Computing SHAP Efficiently Using Model Structure Information L Hu, K Wang arXiv preprint arXiv:2309.02417, 2023 | 1 | 2023 |
| Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation K Wang, V Muthukumar, C Thrampoulidis IEEE Transactions on Information Theory 69 (12), 7909 - 7952, 2023 | | 2023 |
| The Importance of Eigenstructure in High-dimensional Statistics: Examples from Overparameterized Machine Learning and Graphical Models K Wang University of California, Santa Barbara, 2022 | | 2022 |
| Supplementary material for:“Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation” K Wang, V Muthukumar, C Thrampoulidis | | |
