Kevin Han Huang

According to our database, Kevin Han Huang authored at least 5 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schrödinger Equation.

Kevin Han Huang, Ni Zhan, Elif Ertekin, Peter Orbanz, Ryan P. Adams

CoRR, February, 2025

Universality of High-Dimensional Logistic Regression and a Novel CGMT under Dependence with Applications to Data Augmentation.

Matthew Esmaili Mallory, Kevin Han Huang, Morgane Austern

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2024

Near-Optimality of Contrastive Divergence Algorithms.

Pierre Glaser, Kevin Han Huang, Arthur Gretton

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing.

Kevin Han Huang, Xing Liu, Andrew B. Duncan, Axel Gandy

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Quantifying the Effects of Data Augmentation.

Kevin Han Huang, Peter Orbanz, Morgane Austern

CoRR, 2022