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Yingying Li
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Cited by
Year
Online optimization with predictions and switching costs: Fast algorithms and the fundamental limit
Y Li, G Qu, N Li
IEEE Transactions on Automatic Control, 2020
113*2020
Online optimal control with linear dynamics and predictions: Algorithms and regret analysis
Y Li, X Chen, N Li
Advances in Neural Information Processing Systems 32, 2019
932019
Distributed reinforcement learning for decentralized linear quadratic control: A derivative-free policy optimization approach
Y Li, Y Tang, R Zhang, N Li
IEEE Transactions on Automatic Control 67 (12), 6429-6444, 2021
892021
A reliability-aware multi-armed bandit approach to learn and select users in demand response
Y Li, Q Hu, N Li
Automatica 119, 109015, 2020
43*2020
On the regret analysis of online LQR control with predictions
R Zhang, Y Li, N Li
2021 American Control Conference (ACC), 697-703, 2021
422021
Online optimal control with affine constraints
Y Li, S Das, N Li
Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8527-8537, 2021
342021
Online learning and distributed control for residential demand response
X Chen, Y Li, J Shimada, N Li
IEEE Transactions on Smart Grid 12 (6), 4843-4853, 2021
292021
Online hyperparameter optimization for class-incremental learning
Y Liu, Y Li, B Schiele, Q Sun
Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8906-8913, 2023
262023
Growing optimal scale-free networks via likelihood
M Small, Y Li, T Stemler, K Judd
Physical Review E 91 (4), 042801, 2015
252015
Leveraging predictions in smoothed online convex optimization via gradient-based algorithms
Y Li, N Li
Advances in Neural Information Processing Systems 33, 14520-14531, 2020
202020
Online learning for markov decision processes in nonstationary environments: A dynamic regret analysis
Y Li, N Li
2019 American Control Conference (ACC), 1232-1237, 2019
202019
Online markov decision processes with time-varying transition probabilities and rewards
Y Li, A Zhong, G Qu, N Li
ICML workshop on Real-world Sequential Decision Making 3, 2019
202019
Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees
Y Li, S Das, J Shamma, N Li
arXiv preprint arXiv:2111.00411, 2021
19*2021
Mechanism design for reliability in demand response with uncertainty
Y Li, N Li
2017 American control conference (ACC), 3400-3405, 2017
172017
Online switching control with stability and regret guarantees
Y Li, JA Preiss, N Li, Y Lin, A Wierman, JS Shamma
Learning for Dynamics and Control Conference, 1138-1151, 2023
102023
Online adaptive controller selection in time-varying systems: No-regret via contractive perturbations
Y Lin, J Preiss, E Anand, Y Li, Y Yue, A Wierman
arXiv preprint arXiv:2210.12320, 2022
72022
Online adaptive policy selection in time-varying systems: No-regret via contractive perturbations
Y Lin, JA Preiss, E Anand, Y Li, Y Yue, A Wierman
Advances in Neural Information Processing Systems 36, 2024
52024
Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos
Y Liu, Y Li, B Schiele, Q Sun
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
32024
Learning the Uncertainty Sets for Control Dynamics via Set Membership: A Non-Asymptotic Analysis
Y Li, J Yu, L Conger, A Wierman
arXiv preprint arXiv:2309.14648, 2023
22023
Non-asymptotic System Identification for Linear Systems with Nonlinear Policies
Y Li, T Zhang, S Das, J Shamma, N Li
IFAC-PapersOnLine 56 (2), 1672-1679, 2023
12023
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