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publications
A geometrical viewpoint on the benign overfitting and self-induced regularization properties of the minimum $ll_2$-norm interpolant estimator
G. Lecué, and Zong Shang. (2024). "A geometrical viewpoint on the benign overfitting property of the minimum $\ell _2$-norm interpolant estimator and its universality." Probability Theory and Related Fields.
Published in Probability Theory and Related Fields, 2024
Upper bounds for the $L^q$ empirical process via generic chaining
Zong Shang. (2025). "Upper bounds for the $L^q$ empirical process via generic chaining." arXiv preprint arXiv:2511.06338.
Published in arXiv:2511.06338, 2025
A geometrical analysis of kernel ridge regression and its applications
G. Gavrilopoulos, G. Lecué, and Zong Shang. (2025). "A geometrical analysis of kernel ridge regression and its applications." The Annals of Statistics.
Published in The Annals of Statistics, 2025
Invited poster at NeurIPS 2025 upon recommendation by the Editors of the Annals of Statistics.
Sharp convergence rates for Spectral methods via the feature space decomposition method
G. Lecué, Z. Li, and Zong Shang. (2025). "Sharp convergence rates for Spectral methods via the feature space decomposition method." arXiv preprint arXiv:2512.14473.
Published in arXiv:2512.14473, 2025
Benign overfitting property of the minimum norm interpolant estimator in regression and classification via Feature Space Decomposition
R. Adamczak, G. Lecué, Zong Shang, and M. Strzelecka. (2026). "Benign overfitting property of the minimum norm interpolant estimator in regression and classification via Feature Space Decomposition." In preparation.
Published in In preparation, 2026
On the generalization error of mean field shallow neural network
G. Lecué, Zong Shang, T. Suzuki, and T. Wakayama. (2026). "On the generalization error of mean field shallow neural network." In preparation.
Published in In preparation, 2026
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
AI-CS1013: Integrals & Differential Calculus (TD)
Bachelor in Artificial Intelligence, Data and Management Sciences, CentraleSupélec, Paris Saclay, 2025
2025 Spring