| Secure mobile edge computing in IoT via collaborative online learning B Li, T Chen, GB Giannakis IEEE Transactions on Signal Processing 67 (23), 5922-5935, 2019 | 59* | 2019 |
| Real-time energy management in microgrids with reduced battery capacity requirements B Li, T Chen, X Wang, GB Giannakis IEEE Transactions on Smart Grid 10 (2), 1928-1938, 2017 | 57 | 2017 |
| Bandit online learning with unknown delays B Li, T Chen, GB Giannakis The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 56 | 2019 |
| A multistep Lyapunov approach for finite-time analysis of biased stochastic approximation G Wang, B Li, GB Giannakis arXiv preprint arXiv:1909.04299, 2019 | 36 | 2019 |
| A momentum-guided Frank-Wolfe algorithm B Li, M Coutino, GB Giannakis, G Leus IEEE Transactions on Signal Processing 69, 3597-3611, 2021 | 32* | 2021 |
| Surrogate modeling for Bayesian optimization beyond a single Gaussian process Q Lu, KD Polyzos, B Li, GB Giannakis IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (9), 11283 …, 2023 | 30 | 2023 |
| On the convergence of SARAH and beyond B Li, M Ma, GB Giannakis International Conference on Artificial Intelligence and Statistics, 223-233, 2020 | 29 | 2020 |
| Enhancing sharpness-aware optimization through variance suppression B Li, G Giannakis Advances in Neural Information Processing Systems 36, 2024 | 26 | 2024 |
| Dpzero: Private fine-tuning of language models without backpropagation L Zhang, B Li, KK Thekumparampil, S Oh, N He arXiv preprint arXiv:2310.09639, 2023 | 26* | 2023 |
| Almost tune-free variance reduction B Li, L Wang, GB Giannakis International conference on machine learning, 5969-5978, 2020 | 24 | 2020 |
| Distributionally robust semi-supervised learning over graphs A Sadeghi, M Ma, B Li, GB Giannakis arXiv preprint arXiv:2110.10582, 2021 | 15 | 2021 |
| Be aware of non-stationarity: Nearly optimal algorithms for piecewise-stationary cascading bandits L Wang, H Zhou, B Li, LR Varshney, Z Zhao arXiv preprint arXiv:1909.05886, 2019 | 13* | 2019 |
| Accelerating frank-wolfe with weighted average gradients Y Zhang, B Li, GB Giannakis ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 11 | 2021 |
| Scalable bayesian meta-learning through generalized implicit gradients Y Zhang, B Li, S Gao, GB Giannakis Proceedings of the AAAI conference on artificial intelligence 37 (9), 11298 …, 2023 | 10 | 2023 |
| Adversarial linear contextual bandits with graph-structured side observations L Wang, B Li, H Zhou, GB Giannakis, LR Varshney, Z Zhao Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 10156 …, 2021 | 9 | 2021 |
| Heavy ball momentum for conditional gradient B Li, A Sadeghi, G Giannakis Advances in Neural Information Processing Systems 34, 21244-21255, 2021 | 8 | 2021 |
| Enhancing parameter-free Frank Wolfe with an extra subproblem B Li, L Wang, GB Giannakis, Z Zhao Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8324-8331, 2021 | 8 | 2021 |
| Revisit of estimate sequence for accelerated gradient methods B Li, M Coutiņo, GB Giannakis ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 8 | 2020 |
| Adaptive step sizes in variance reduction via regularization B Li, GB Giannakis arXiv preprint arXiv:1910.06532, 2019 | 8 | 2019 |
| Implicit regularization of sharpness-aware minimization for scale-invariant problems B Li, L Zhang, N He Advances in Neural Information Processing Systems 37, 44444-44478, 2024 | 3 | 2024 |
Georgios B. GiannakisMcKnight Presidential Chair in ECE Dept., University of MinnesotaVerified email at umn.edu
