| Finite-sample analysis for sarsa with linear function approximation S Zou, T Xu, Y Liang NeurIPS 2019, 2019 | 208 | 2019 |
| Tightening mutual information-based bounds on generalization error Y Bu, S Zou, VV Veeravalli IEEE Journal on Selected Areas in Information Theory 1 (1), 121-130, 2020 | 205 | 2020 |
| Sequential (quickest) change detection: Classical results and new directions L Xie, S Zou, Y Xie, VV Veeravalli IEEE Journal on Selected Areas in Information Theory 2 (2), 494-514, 2021 | 144 | 2021 |
| Estimation of KL divergence: Optimal minimax rate Y Bu, S Zou, Y Liang, VV Veeravalli IEEE Transactions on Information Theory 64 (4), 2648-2674, 2018 | 116* | 2018 |
| Online robust reinforcement learning with model uncertainty Y Wang, S Zou Advances in Neural Information Processing Systems 34, 7193-7206, 2021 | 114 | 2021 |
| Two time-scale off-policy TD learning: Non-asymptotic analysis over Markovian samples T Xu, S Zou, Y Liang Advances in Neural Information Processing Systems, 10633-10643, 2019 | 91 | 2019 |
| Policy gradient method for robust reinforcement learning Y Wang, S Zou International conference on machine learning, 23484-23526, 2022 | 76 | 2022 |
| Nonparametric Detection of Anomalous Data Streams S Zou, Y Liang, HV Poor, X Shi IEEE Transactions on Signal Processing 65 (21), 5785 - 5797, 2017 | 64* | 2017 |
| Robust multi-agent reinforcement learning with state uncertainty S He, S Han, S Su, S Han, S Zou, F Miao TMLR, 2023 | 44 | 2023 |
| An information theoretic approach to secret sharing S Zou, Y Liang, L Lai, S Shamai IEEE Transactions on Information Theory 61 (6), 3121-3136, 2015 | 44 | 2015 |
| Quickest change detection under transient dynamics: Theory and asymptotic analysis S Zou, G Fellouris, VV Veeravalli IEEE Transactions on Information Theory 65 (3), 1397--1412, 2019 | 42* | 2019 |
| Faster algorithm and sharper analysis for constrained Markov decision process T Li, Z Guan, S Zou, T Xu, Y Liang, G Lan Operations Research Letters 54, 107107, 2024 | 40 | 2024 |
| Quickest detection of dynamic events in networks S Zou, VV Veeravalli, J Li, D Towsley IEEE Transactions on Information Theory, 2019 | 39 | 2019 |
| Signal processing and machine learning for biomedical big data E Sejdic, TH Falk CRC press, 2018 | 35 | 2018 |
| What is the solution for state-adversarial multi-agent reinforcement learning? S Han, S Su, S He, S Han, H Yang, S Zou, F Miao arXiv preprint arXiv:2212.02705, 2022 | 32 | 2022 |
| A robust and constrained multi-agent reinforcement learning framework for electric vehicle amod systems S He, Y Wang, S Han, S Zou, F Miao IROS2023, 2022 | 32 | 2022 |
| Sample and communication-efficient decentralized actor-critic algorithms with finite-time analysis Z Chen, Y Zhou, RR Chen, S Zou International Conference on Machine Learning, 3794-3834, 2022 | 31 | 2022 |
| Information-Theoretic Understanding of Population Risk Improvement with Model Compression. Y Bu, W Gao, S Zou, VV Veeravalli AAAI, 3300-3307, 2020 | 29* | 2020 |
| Finite-sample analysis of Greedy-GQ with linear function approximation under Markovian noise Y Wang, S Zou Conference on Uncertainty in Artificial Intelligence, 11-20, 2020 | 28 | 2020 |
| Sequential algorithms for moving anomaly detection in networks G Rovatsos, S Zou, VV Veeravalli Sequential Analysis, 2020 | 28* | 2020 |
Yingbin LiangThe Ohio State Universityosu.edu의 이메일 확인됨