| Multi-label zero-shot learning with structured knowledge graphs CW Lee, W Fang, CK Yeh, YCF Wang Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 359 | 2018 |
| A new algorithm for non-stationary contextual bandits: Efficient, optimal and parameter-free Y Chen, CW Lee, H Luo, CY Wei Conference on Learning Theory, 696-726, 2019 | 144 | 2019 |
| Linear Last-iterate Convergence in Constrained Saddle-point Optimization CY Wei, CW Lee, M Zhang, H Luo International Conference on Learning Representations, 2021 | 125 | 2021 |
| Last-iterate convergence of decentralized optimistic gradient descent/ascent in infinite-horizon competitive markov games CY Wei, CW Lee, M Zhang, H Luo Conference on learning theory, 4259-4299, 2021 | 113 | 2021 |
| Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs CW Lee, H Luo, CY Wei, M Zhang Advances in Neural Information Processing Systems 33, 15522-15533, 2020 | 66 | 2020 |
| Policy optimization in adversarial mdps: Improved exploration via dilated bonuses H Luo, CY Wei, CW Lee Advances in Neural Information Processing Systems 34, 22931-22942, 2021 | 55 | 2021 |
| Achieving near instance-optimality and minimax-optimality in stochastic and adversarial linear bandits simultaneously CW Lee, H Luo, CY Wei, M Zhang, X Zhang International Conference on Machine Learning, 6142-6151, 2021 | 53 | 2021 |
| Last-iterate convergence in extensive-form games CW Lee, C Kroer, H Luo Advances in Neural Information Processing Systems 34, 14293-14305, 2021 | 47 | 2021 |
| Near-optimal no-regret learning for general convex games G Farina, I Anagnostides, H Luo, CW Lee, C Kroer, T Sandholm Advances in Neural Information Processing Systems 35, 2022 | 41 | 2022 |
| Achieving optimal dynamic regret for non-stationary bandits without prior information P Auer, Y Chen, P Gajane, CW Lee, H Luo, R Ortner, CY Wei Conference on Learning Theory, 159-163, 2019 | 36 | 2019 |
| Uncoupled Learning Dynamics with Swap Regret in Multiplayer Games I Anagnostides, G Farina, C Kroer, CW Lee, H Luo, T Sandholm Advances in Neural Information Processing Systems 35, 2022 | 34 | 2022 |
| Kernelized multiplicative weights for 0/1-polyhedral games: Bridging the gap between learning in extensive-form and normal-form games G Farina, CW Lee, H Luo, C Kroer International Conference on Machine Learning, 6337-6357, 2022 | 32 | 2022 |
| A closer look at small-loss bounds for bandits with graph feedback CW Lee, H Luo, M Zhang Conference on Learning Theory, 2516-2564, 2020 | 24 | 2020 |
| Linear last-iterate convergence for matrix games and stochastic games CW Lee, H Luo, CY Wei, M Zhang arXiv e-prints, arXiv: 2006.09517, 2020 | 17 | 2020 |
| Regret matching+:(in) stability and fast convergence in games G Farina, J Grand-Clément, C Kroer, CW Lee, H Luo Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| Clairvoyant Regret Minimization: Equivalence with Nemirovski's Conceptual Prox Method and Extension to General Convex Games G Farina, C Kroer, CW Lee, H Luo NeurIPS 2022 Workshop on Optimization for Machine Learning, 2022 | 7 | 2022 |
| Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms Y Cai, G Farina, J Grand-Clément, C Kroer, CW Lee, H Luo, W Zheng arXiv preprint arXiv:2406.10631, 2024 | 3 | 2024 |
| Context-lumpable stochastic bandits CW Lee, Q Liu, Y Abbasi Yadkori, C Jin, T Lattimore, C Szepesvári Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games Y Cai, G Farina, J Grand-Clément, C Kroer, CW Lee, H Luo, W Zheng arXiv preprint arXiv:2311.00676, 2023 | | 2023 |
| Practical Knowledge Distillation: Using DNNs to Beat DNNs CW Lee, PA Apostolopulos, IL Markov arXiv preprint arXiv:2302.12360, 2023 | | 2023 |
Haipeng LuoAssociate Professor, University of Southern CaliforniaVerified email at usc.edu
