Yingying Li
Orcid: 0000-0002-1858-4257Affiliations:
- University of Illinois Urbana-Champaign, Champaign, IL, USA
According to our database1,
Yingying Li
authored at least 22 papers
between 2017 and 2024.
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Bibliography
2024
IEEE Control. Syst. Lett., 2024
Wakening Past Concepts without Past Data: Class-Incremental Learning from Online Placebos.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Learning the Uncertainty Sets for Control Dynamics via Set Membership: A Non-Asymptotic Analysis.
CoRR, 2023
CoRR, 2023
Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Learning for Dynamics and Control Conference, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2021
IEEE Trans. Smart Grid, 2021
Online Optimization With Predictions and Switching Costs: Fast Algorithms and the Fundamental Limit.
IEEE Trans. Autom. Control., 2021
Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees.
CoRR, 2021
Proceedings of the 2021 American Control Conference, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
A reliability-aware multi-armed bandit approach to learn and select users in demand response.
Autom., 2020
Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
2019
Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Online Learning for Markov Decision Processes in Nonstationary Environments: A Dynamic Regret Analysis.
Proceedings of the 2019 American Control Conference, 2019
2018
Learning and Selecting the Right Customers for Reliability: A Multi-Armed Bandit Approach.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Using Predictions in Online Optimization with Switching Costs: A Fast Algorithm and A Fundamental Limit.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Proceedings of the 2017 American Control Conference, 2017