Chun Kai Ling

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 32

Top Topics

Extensive Form Games

Top Venues

Publications

Davin Choo, Themis Gouleakis, Chun Kai Ling, Arnab Bhattacharyya
Online bipartite matching with imperfect advice. CoRR (2024)
Yixuan Even Xu, Chun Kai Ling, Fei Fang
Learning Coalition Structures with Games. AAAI (2024)
Weijia Zhang, Chun Kai Ling, Xuanhui Zhang
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees. AAAI (2024)
Jakub Cerný, Chun Kai Ling, Christian Kroer, Garud Iyengar
Layered Graph Security Games. CoRR (2024)
Paul Pu Liang, Chun Kai Ling, Yun Cheng, Alexander Obolenskiy, Yudong Liu, Rohan Pandey, Alex Wilf, Louis-Philippe Morency, Russ Salakhutdinov
Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications. ICLR (2024)
Zimeng Song, Chun Kai Ling, Fei Fang
Multi-defender Security Games with Schedules. CoRR (2023)
Paul Pu Liang, Yun Cheng, Xiang Fan, Chun Kai Ling, Suzanne Nie, Richard J. Chen, Zihao Deng, Faisal Mahmood, Ruslan Salakhutdinov, Louis-Philippe Morency
Quantifying & Modeling Feature Interactions: An Information Decomposition Framework. CoRR (2023)
Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. ICML (2023)
Chun Kai Ling, J. Zico Kolter, Fei Fang
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. AAAI (2023)
Weijia Zhang, Chun Kai Ling, Xuanhui Zhang
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees. CoRR (2023)
Yixuan Even Xu, Chun Kai Ling, Fei Fang
Learning Coalition Structures with Games. CoRR (2023)
Paul Pu Liang, Yun Cheng, Xiang Fan, Chun Kai Ling, Suzanne Nie, Richard J. Chen, Zihao Deng, Nicholas B. Allen, Randy Auerbach, Faisal Mahmood, Russ Salakhutdinov, Louis-Philippe Morency
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework. NeurIPS (2023)
Paul Pu Liang, Chun Kai Ling, Yun Cheng, Alex Obolenskiy, Yudong Liu, Rohan Pandey, Alex Wilf, Louis-Philippe Morency, Ruslan Salakhutdinov
Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications. CoRR (2023)
Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. CoRR (2023)
Chun Kai Ling, Fei Fang
Safe Subgame Resolving for Extensive Form Correlated Equilibrium. CoRR (2022)
Chun Kai Ling, Fei Fang
Safe Subgame Resolving for Extensive Form Correlated Equilibrium. AAAI (2022)
Chun Kai Ling, J. Zico Kolter, Fei Fang
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. CoRR (2022)
Chun Kai Ling, Noam Brown
Safe Search for Stackelberg Equilibria in Extensive-Form Games. AAAI (2021)
Chun Kai Ling, Noam Brown
Safe Search for Stackelberg Equilibria in Extensive-Form Games. CoRR (2021)
Chun Kai Ling, Fei Fang, J. Zico Kolter
Deep Archimedean Copulas. CoRR (2020)
Chun Kai Ling, Fei Fang, J. Zico Kolter
Deep Archimedean Copulas. NeurIPS (2020)
Dmitrii Kharkovskii, Chun Kai Ling, Kian Hsiang Low
Nonmyopic Gaussian Process Optimization with Macro-Actions. CoRR (2020)
Dmitrii Kharkovskii, Chun Kai Ling, Bryan Kian Hsiang Low
Nonmyopic Gaussian Process Optimization with Macro-Actions. AISTATS (2020)
Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium. CoRR (2019)
Chun Kai Ling, Fei Fang, J. Zico Kolter
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. AAAI (2019)
Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium. NeurIPS (2019)
Chun Kai Ling, Fei Fang, J. Zico Kolter
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. CoRR (2019)
Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks. CoRR (2019)
Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks. NeurIPS (2019)
Chun Kai Ling, Fei Fang, J. Zico Kolter
What game are we playing? End-to-end learning in normal and extensive form games. CoRR (2018)
Chun Kai Ling, Fei Fang, J. Zico Kolter
What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games. IJCAI (2018)
Chun Kai Ling, Kian Hsiang Low, Patrick Jaillet
Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond. AAAI (2016)
Chun Kai Ling, Kian Hsiang Low, Patrick Jaillet
Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond. CoRR (2015)