Sparse SIR: Optimal rates and adaptive estimation K Tan, L Shi, Z Yu Annals of Statistics 48 (1), 64-85, 2020 | 33 | 2020 |
COM-negative binomial distribution: modeling overdispersion and ultrahigh zero-inflated count data H Zhang, K Tan, B Li Frontiers of Mathematics in China 13, 967-998, 2018 | 17 | 2018 |
Multinomial logistic regression: Asymptotic normality on null covariates in high-dimensions K Tan, PC Bellec Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
Noise covariance estimation in multi-task high-dimensional linear models K Tan, G Romon, PC Bellec Bernoulli 30 (3), 1695-1722, 2024 | 6 | 2024 |
Corrected generalized cross-validation for finite ensembles of penalized estimators PC Bellec, JH Du, T Koriyama, P Patil, K Tan Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024 | 5 | 2024 |
Uncertainty quantification for iterative algorithms in linear models with application to early stopping PC Bellec, K Tan arXiv preprint arXiv:2404.17856, 2024 | 5 | 2024 |
Precise Asymptotics of Bagging Regularized M-estimators T Koriyama, P Patil, JH Du, K Tan, PC Bellec arXiv preprint arXiv:2409.15252, 2024 | 2 | 2024 |
Sparse Fréchet Sufficient Dimension Reduction with Graphical Structure Among Predictors J Weng, K Tan, C Wang, Z Yu arXiv preprint arXiv:2310.19114, 2023 | 2 | 2023 |
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression K Tan, PC Bellec Advances in Neural Information Processing Systems 37, 2024 | 1 | 2024 |
Variable-dependent partial dimension reduction L Li, K Tan, XM Wen, Z Yu TEST 32 (2), 521-541, 2023 | | 2023 |
Interview with Professor Danny Pfeffermann L Ni, K Tan Statistical Theory and Related Fields 2 (2), 219-221, 2018 | | 2018 |
Summaries of three keynote lectures at the SAE–2018 K Tan, L Ni Statistical Theory and Related Fields 2 (2), 215-218, 2018 | | 2018 |