| Beyond online balanced descent: An optimal algorithm for smoothed online optimization G Goel, Y Lin, H Sun, A Wierman Advances in Neural Information Processing Systems 32, 2019 | 67 | 2019 |
| Perturbation-based regret analysis of predictive control in linear time varying systems Y Lin, Y Hu, G Shi, H Sun, G Qu, A Wierman Advances in Neural Information Processing Systems 34, 5174-5185, 2021 | 35 | 2021 |
| A memetic algorithm for symbolic regression H Sun, P Moscato 2019 IEEE Congress on Evolutionary Computation (CEC), 2167-2174, 2019 | 20* | 2019 |
| Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently H Sun, K Ahn, C Thrampoulidis, N Azizan Advances in Neural Information Processing Systems 35, 31089--31101, 2022 | 12 | 2022 |
| Distributed submodular maximization with parallel execution H Sun, D Grimsman, JR Marden 2020 American Control Conference (ACC), 1477-1482, 2020 | 9 | 2020 |
| A unified approach to controlling implicit regularization via mirror descent H Sun, K Gatmiry, K Ahn, N Azizan Journal of Machine Learning Research 24 (393), 1-58, 2023 | 4 | 2023 |
| Private Synthetic Data Meets Ensemble Learning H Sun, N Azizan, A Srivastava, H Wang arXiv preprint arXiv:2310.09729, 2023 | 1 | 2023 |
| A least-square method for non-asymptotic identification in linear switching control H Sun, A Jadbabaie arXiv preprint arXiv:2404.08120, 2024 | | 2024 |
| Online learning for equilibrium pricing in markets under incomplete information D Jalota, H Sun, N Azizan 2023 62nd IEEE Conference on Decision and Control (CDC), 4996-5001, 2023 | | 2023 |
| A Unified Approach to Controlling Implicit Regularization Using Mirror Descent H Sun Massachusetts Institute of Technology, 2023 | | 2023 |
| Online Convex Optimization and Predictive Control in Dynamic Environments H Sun California Institute of Technology, 2021 | | 2021 |
