| 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 | 95 | 2018 |
| Gaussian process planning with Lipschitz continuous reward functions: Towards unifying Bayesian optimization, active learning, and beyond CK Ling, KH Low, P Jaillet Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 80 | 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 | 54 | 2019 |
| Quantifying & modeling multimodal interactions: An information decomposition framework PP Liang, Y Cheng, X Fan, CK Ling, S Nie, R Chen, Z Deng, N Allen, ... Advances in Neural Information Processing Systems 36, 2024 | 40 | 2024 |
| 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 | 29 | 2019 |
| Deep archimedean copulas CK Ling, F Fang, JZ Kolter Advances in Neural Information Processing Systems 33, 1535-1545, 2020 | 24 | 2020 |
| 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 | 22 | 2019 |
| Nonmyopic Gaussian process optimization with macro-actions D Kharkovskii, CK Ling, BKH Low International Conference on Artificial Intelligence and Statistics, 4593-4604, 2020 | 14 | 2020 |
| Multimodal learning without labeled multimodal data: Guarantees and applications PP Liang, CK Ling, Y Cheng, A Obolenskiy, Y Liu, R Pandey, A Wilf, ... arXiv preprint arXiv:2306.04539, 2023 | 13 | 2023 |
| 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 | 7 | 2021 |
| Abstracting imperfect information away from two-player zero-sum games S Sokota, R D’Orazio, CK Ling, DJ Wu, JZ Kolter, N Brown International Conference on Machine Learning, 32169-32193, 2023 | 4 | 2023 |
| Quantifying interactions in semi-supervised multimodal learning: Guarantees and applications PP Liang, CK Ling, Y Cheng, A Obolenskiy, Y Liu, R Pandey, A Wilf, ... International Conference on Learning Representations (ICLR), 2023 | 3 | 2023 |
| Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees W Zhang, CK Ling, X Zhang Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20613 …, 2024 | 2 | 2024 |
| Learning Coalition Structures with Games YE Xu, CK Ling, F Fang Proceedings of the AAAI Conference on Artificial Intelligence 38 (9), 9944-9951, 2024 | 2 | 2024 |
| A short note about the learning-augmented secretary problem D Choo, CK Ling arXiv preprint arXiv:2410.06583, 2024 | 1 | 2024 |
| Online bipartite matching with imperfect advice D Choo, T Gouleakis, CK Ling, A Bhattacharyya arXiv preprint arXiv:2405.09784, 2024 | 1 | 2024 |
| Multi-defender Security Games with Schedules Z Song, CK Ling, F Fang International Conference on Decision and Game Theory for Security, 65-85, 2023 | 1 | 2023 |
| Function approximation for solving stackelberg equilibrium in large perfect information games CK Ling, JZ Kolter, F Fang Proceedings of the AAAI Conference on Artificial Intelligence 37 (5), 5764-5772, 2023 | 1 | 2023 |
| Contested Logistics: A Game-Theoretic Approach J Černư, CK Ling, D Chakrabarti, J Zhang, G Farina, C Kroer, G Iyengar International Conference on Decision and Game Theory for Security, 124-146, 2024 | | 2024 |
| Contested Logistics: A Game-Theoretic Approach J Cerny, CK Ling, D Chakrabarti, J Zhang, G Farina, C Kroer, G Iyengar arXiv preprint arXiv:2408.13057, 2024 | | 2024 |
Fei FangCarnegie Mellon UniversityVerified email at cmu.edu
