| Gaussian and Non-Gaussian Universality of Data Augmentation KH Huang, P Orbanz, M Austern arXiv preprint arXiv:2202.09134, 2022 | 17* | 2022 |
| A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing KH Huang, X Liu, A Duncan, A Gandy The Thirty Sixth Annual Conference on Learning Theory (COLT), 2023 | 12 | 2023 |
| Gaussian universality for approximately polynomial functions of high-dimensional data KH Huang, M Austern, P Orbanz arXiv preprint arXiv:2403.10711, 2024 | 7 | 2024 |
| Near-Optimality of Contrastive Divergence Algorithms P Glaser, KH Huang, A Gretton The 38th Annual Conference on Neural Information Processing Systems (NeurIPS), 2024 | 3 | 2024 |
| Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schr\" odinger Equation KH Huang, N Zhan, E Ertekin, P Orbanz, RP Adams The 42nd International Conference on Machine Learning (ICML), 2025 | 2 | 2025 |
| Universality of High-Dimensional Logistic Regression and a Novel CGMT under Dependence with Applications to Data Augmentation ME Mallory, KH Huang, M Austern The Thirty Eighth Conference on Learning Theory (COLT), 2025 | 1 | 2025 |
| Slow rates of approximation of U-statistics and V-statistics by quadratic forms of Gaussians KH Huang, P Orbanz arXiv preprint arXiv:2406.12437, 2024 | 1 | 2024 |
| Universality beyond the classical asymptotic regime KH Huang UCL (University College London), 2025 | | 2025 |
| Neural Network Wave Function Solver N Zhan, W Wheeler, K Huang, P Orbanz, L Wagner, E Ertekin, RP Adams 2024 AIChE Annual Meeting, 2024 | | 2024 |
Peter OrbanzUniversity College LondonVerified email at ucl.ac.uk
