Publications

Salam Afiouni, Jakub Cerny, Chun Kai Ling, Christian Kroer (2024). Commitment to Sparse Strategies in Two-Player Games. Accepted to AAAI 2025 main track.

Jakub Cerny, Chun Kai Ling, Darshan Chakrabarti, Jingwen Zhang, Gabriele Farina, Christian Kroer, Garud Iyengar (2024). Contested Logistics: A Game Theoretic Approach. In GameSec 2024. Best Paper Award (out of 3).

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Davin Choo, Themistoklis Gouleakis, Chun Kai Ling, Arnab Bhattacharyya (2024). Online bipartite matching with imperfect advice. Accepted to ICML 2024 main track.

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Jakub Cerny, Chun Kai Ling, Christian Kroer, Garud Iyengar (2024). Layered Graph Security Games. Accepted to IJCAI 2024 main track.

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Paul Pu Liang, Chun Kai Ling, Yun Cheng, Alexander Obolenskiy, Yudong Liu, Rohan Pandey, Alex Wilf, Louis-Philippe Morency, Russ Salakhutdinov (2024). Quantifying Interactions in Semi-supervised Multimodal Learning: Guarantees and Applications. Accepted to ICLR 2024 Main Track.

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Yixuan Xu, Chun Kai Ling, Fei Fang (2023). Learning Coalition Structures with Games. Accepted to AAAI 2024 Main Track.

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Weijia Zhang, Chun Kai Ling, Xuanhui Zhang (2023). Deep Copula-based Survival Analysis for Dependent Censoring with Identifiability Guarantees. Accepted to AAAI 2024 Main Track.

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Paul Pu Liang, Yun Cheng, Xiang Fan, Chun Kai Ling, Suzanne Nie, Richard J. Chen, Zihao Deng, Nicholas Allen, Randy Auerbach, Faisal Mahmood, Ruslan Salakhutdinov, Louis-Philippe Morency (2023). Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework. In Neurips 2023 Main Track.

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Zimeng Song, Chun Kai Ling, Fei Fang (2023). Multi-defender Security Games with Schedules. In GameSec 2023. Best Paper Award.

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Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J Wu, J Zico Kolter, Noam Brown (2023). Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. In ICML 2023 Main Track.

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Chun Kai Ling, J. Zico Kolter, Fei Fang (2022). Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. In AAAI 2023 main track (oral).

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Chun Kai Ling, Fei Fang (2022). Safe Subgame Resolving for Extensive Form Correlated Equilibrium. In AAAI 2022 main track (oral).

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Chun Kai Ling, Noam Brown (2020). Safe Search for Stackelberg Equilibria in Extensive-Form Games. Accepted to AAAI 2021 main track.

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Chun Kai Ling, Fei Fang, J. Zico Kolter (2020). Deep Archimedean Copulas. Accepted to Neurips 2020 main track.

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Dmitrii Kharkovskii, Chun Kai Ling, Bryan Kian Hsiang Low (2020). Nonmyopic Gaussian Process Optimization with Macro-Actions. In AISTATS.

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Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm (2019). Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium. In Neurips main track (Oral).

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Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm (2019). Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks. In Neurips main track.

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Chun Kai Ling, Fei Fang, J. Zico Kolter (2019). Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. In AAAI 2019 main track.

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Chun Kai Ling, Fei Fang, J. Zico Kolter (2018). What game are we playing? End-to-end learning in normal and extensive form games. In IJCAI 2018 main track. Distinguished Paper Award..

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Chun Kai Ling, J. Zico Kolter, Fei Fang (2017). What game are we playing? Differentiably learning games from incomplete observations. In NIPS 2017 Deep RL Symposium.

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Chun Kai Ling, Low Kian Hsiang, Patrick Jaillet (2016). Gaussian Process Planning with Lipschitz Continuous Reward Functions. In AAAI.

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