| A sample size calculator for SMART pilot studies H Kim, E Ionides, D Almirall SIAM undergraduate research online 9, 229, 2016 | 15 | 2016 |
| Hierarchical ensemble Kalman methods with sparsity-promoting generalized gamma hyperpriors H Kim, D Sanz-Alonso, A Strang Foundations of Data Science 5 (3), 366-388, 2023 | 13 | 2023 |
| A variational inference approach to inverse problems with gamma hyperpriors S Agrawal, H Kim, D Sanz-Alonso, A Strang SIAM/ASA Journal on Uncertainty Quantification 10 (4), 1533-1559, 2022 | 12 | 2022 |
| Graph-based prior and forward models for inverse problems on manifolds with boundaries J Harlim, SW Jiang, H Kim, D Sanz-Alonso Inverse Problems 38 (3), 035006, 2022 | 11 | 2022 |
| High-Dimensional Regression Under Correlated Design: An Extensive Simulation Study SE Ahmed, H Kim, G Yıldırım, B Yüzbaşı Matrices, Statistics and Big Data: Selected Contributions from IWMS 2016 25 …, 2019 | 7 | 2019 |
| “Plus/minus the learning rate”: Easy and Scalable Statistical Inference with SGD J Chee, H Kim, P Toulis International Conference on Artificial Intelligence and Statistics, 2285-2309, 2023 | 4 | 2023 |
| Optimization on Manifolds via Graph Gaussian Processes H Kim, D Sanz-Alonso, R Yang SIAM Journal on Mathematics of Data Science 6 (1), 1-25, 2024 | 3 | 2024 |
| Enhancing Gaussian Process Surrogates for Optimization and Posterior Approximation via Random Exploration H Kim, D Sanz-Alonso arXiv preprint arXiv:2401.17037, 2024 | 1* | 2024 |
| ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift H Kim, X Zhang, J Zhao, Q Tian International Conference on Learning Representations, 2024 | 1 | 2024 |
| Sparsity, Nonconvexity and Geometric Constraints on Statistical Inverse Problems H Kim The University of Chicago, 2024 | | 2024 |
| THE CONDITIONAL DISTRIBUTION OF THE EIGENVALUES OF THE GINIBRE ENSEMBLE H KIM, E SIEGEL | | |
Alexander StrangAssistant Professor, UC Berkeley在 berkeley.edu 的电子邮件经过验证
