Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond. - Chun Kai Ling; Kian Hsiang Low; Patrick Jaillet (AAAI, 2016)

What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games. - Chun Kai Ling; Fei Fang 001; J. Zico Kolter (IJCAI, 2018)

Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. - Chun Kai Ling; Fei Fang 001; J. Zico Kolter (AAAI, 2019)

Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium. - Gabriele Farina; Chun Kai Ling; Fei Fang 001; Tuomas Sandholm (NeurIPS, 2019)

Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks. - Gabriele Farina; Chun Kai Ling; Fei Fang 001; Tuomas Sandholm (NeurIPS, 2019)

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

Deep Archimedean Copulas. - Chun Kai Ling; Fei Fang 001; J. Zico Kolter (NeurIPS, 2020)

Safe Search for Stackelberg Equilibria in Extensive-Form Games. - Chun Kai Ling; Noam Brown (AAAI, 2021)

Safe Subgame Resolving for Extensive Form Correlated Equilibrium. - Chun Kai Ling; Fei Fang 001 (AAAI, 2022)

Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. - Chun Kai Ling; J. Zico Kolter; Fei Fang 001 (AAAI, 2023)

Multi-defender Security Games with Schedules. - Zimeng Song; Chun Kai Ling; Fei Fang 001 (GameSec, 2023)

Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. - Samuel Sokota; Ryan D'Orazio; Chun Kai Ling; David J. Wu 002; J. Zico Kolter; Noam Brown (ICML, 2023)

Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework. - Paul Pu Liang; Yun Cheng; Xiang Fan; Chun Kai Ling; Suzanne Nie; Richard J. Chen; Zihao Deng; Nicholas B. Allen; Randy Auerbach; Faisal Mahmood 001; Russ Salakhutdinov; Louis-Philippe Morency (NeurIPS, 2023)

Quantifying & Modeling Feature Interactions: An Information Decomposition Framework. - Paul Pu Liang; Yun Cheng; Xiang Fan; Chun Kai Ling; Suzanne Nie; Richard J. Chen; Zihao Deng; Faisal Mahmood 001; Ruslan Salakhutdinov; Louis-Philippe Morency (CoRR, 2023)

Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees. - Weijia Zhang 001; Chun Kai Ling; Xuanhui Zhang (AAAI, 2024)

Learning Coalition Structures with Games. - Yixuan Even Xu; Chun Kai Ling; Fei Fang 001 (AAAI, 2024)

Contested Logistics: A Game-Theoretic Approach. - Jakub Cerný; Chun Kai Ling; Darshan Chakrabarti; Jingwen Zhang; Gabriele Farina; Christian Kroer; Garud Iyengar (GameSec, 2024)

Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications. - Paul Pu Liang; Chun Kai Ling; Yun Cheng; Alexander Obolenskiy; Yudong Liu; Rohan Pandey; Alex Wilf; Louis-Philippe Morency; Russ Salakhutdinov (ICLR, 2024)

Online bipartite matching with imperfect advice. - Davin Choo; Themistoklis Gouleakis; Chun Kai Ling; Arnab Bhattacharyya 001 (ICML, 2024)

Layered Graph Security Games. - Jakub Cerný; Chun Kai Ling; Christian Kroer; Garud Iyengar (IJCAI, 2024)

A short note about the learning-augmented secretary problem. - Davin Choo; Chun Kai Ling (CoRR, 2024)

Commitment to Sparse Strategies in Two-Player Games. - Salam Afiouni; Jakub Cerný; Chun Kai Ling; Christian Kroer (AAAI, 2025)

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs. - Hao Luan; See-Kiong Ng; Chun Kai Ling (CoRR, 2025)

Projected Coupled Diffusion for Test-Time Constrained Joint Generation. - Hao Luan; Yi Xian Goh; See-Kiong Ng; Chun Kai Ling (CoRR, 2025)