Publications

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

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.

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.

Preprint PDF Poster