| What game are we playing? end-to-end learning in normal and extensive form games CK Ling, F Fang, JZ Kolter arXiv preprint arXiv:1805.02777, 2018 | 64 | 2018 |
| Gaussian process planning with Lipschitz continuous reward functions: Towards unifying Bayesian optimization, active learning, and beyond CK Ling, KH Low, P Jaillet Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 61 | 2016 |
| Correlation in extensive-form games: Saddle-point formulation and benchmarks G Farina, CK Ling, F Fang, T Sandholm Advances in Neural Information Processing Systems 32, 2019 | 27 | 2019 |
| Large scale learning of agent rationality in two-player zero-sum games CK Ling, F Fang, JZ Kolter Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6104-6111, 2019 | 19 | 2019 |
| Efficient regret minimization algorithm for extensive-form correlated equilibrium G Farina, CK Ling, F Fang, T Sandholm Advances in Neural Information Processing Systems 32, 2019 | 11 | 2019 |
| Nonmyopic Gaussian process optimization with macro-actions D Kharkovskii, CK Ling, BKH Low International Conference on Artificial Intelligence and Statistics, 4593-4604, 2020 | 10 | 2020 |
| Deep archimedean copulas CK Ling, F Fang, JZ Kolter Advances in Neural Information Processing Systems 33, 1535-1545, 2020 | 8 | 2020 |
| Safe search for stackelberg equilibria in extensive-form games CK Ling, N Brown Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5541-5548, 2021 | 2 | 2021 |
| Safe Subgame Resolving for Extensive Form Correlated Equilibrium CK Ling, F Fang | | 2022 |
| Power of Correlation in Extensive-Form Games G Farina, CK Ling, F Fang, T Sandholm IJCAI Workshop on Strategic Reasoning, 2019 | | 2019 |
| Gaussian Process Planning with Lipschitz Continuous Reward Functions CK Ling, KH Low, P Jaillet Association for Computing Machinery, 2016 | | 2016 |
| Learning Attacker Utilities in Nested-Logit Security Games CK Ling, H Oh | | |
| Scoring Rules for Adaptive Multi-stage Questions CK Ling, G Manek | | |
