Chun Kai Ling - RankMe

49 papers A* 19A 1Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Colonel Blotto with Battlefield Games. AAAI Salam Afiouni, Jakub Cerný, Chun Kai Ling, Christian Kroer
2026	J	`jnl`	Computing Equilibria in Games with Stochastic Action Sets. CoRR Thomas Schwarz, Ryann Sim, Chun Kai Ling
2026	J	`jnl`	Game of Thought: Robust Information Seeking with Large Language Models Using Game Theory. CoRR Langyuan Cui, Chun Kai Ling, Hwee Tou Ng
2026	A*	`conf`	Security Games with Layered Defenses: Adaptive Adversaries and Gittins Indices. AAAI Chun Kai Ling, Jakub Cerný, Chin Hui Han, Garud Iyengar, Christian Kroer
2025	J	`jnl`	CARL: Critical Action Focused Reinforcement Learning for Multi-Step Agent. CoRR Leyang Shen, Yang Zhang, Chun Kai Ling, Xiaoyan Zhao, Tat-Seng Chua
2025	J	`jnl`	Colonel Blotto with Battlefield Games. CoRR Salam Afiouni, Jakub Cerný, Chun Kai Ling, Christian Kroer
2025	A*	`conf`	Commitment to Sparse Strategies in Two-Player Games. AAAI Salam Afiouni, Jakub Cerný, Chun Kai Ling, Christian Kroer
2025	J	`jnl`	DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs. CoRR Hao Luan, See-Kiong Ng, Chun Kai Ling
2025	J	`jnl`	Projected Coupled Diffusion for Test-Time Constrained Joint Generation. CoRR Hao Luan, Yi Xian Goh, See-Kiong Ng, Chun Kai Ling
2024	J	`jnl`	A short note about the learning-augmented secretary problem. CoRR Davin Choo, Chun Kai Ling
2024	J	`jnl`	Commitment to Sparse Strategies in Two-Player Games. CoRR Salam Afiouni, Jakub Cerný, Chun Kai Ling, Christian Kroer
2024	—	`conf`	Contested Logistics: A Game-Theoretic Approach. GameSec Jakub Cerný, Chun Kai Ling, Darshan Chakrabarti, Jingwen Zhang, Gabriele Farina, Christian Kroer, Garud Iyengar
2024	J	`jnl`	Contested Logistics: A Game-Theoretic Approach. CoRR Jakub Cerný, Chun Kai Ling, Darshan Chakrabarti, Jingwen Zhang, Gabriele Farina, Christian Kroer, Garud Iyengar
2024	A*	`conf`	Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees. AAAI Weijia Zhang, Chun Kai Ling, Xuanhui Zhang
2024	A*	`conf`	Layered Graph Security Games. IJCAI Jakub Cerný, Chun Kai Ling, Christian Kroer, Garud Iyengar
2024	J	`jnl`	Layered Graph Security Games. CoRR Jakub Cerný, Chun Kai Ling, Christian Kroer, Garud Iyengar
2024	A*	`conf`	Learning Coalition Structures with Games. AAAI Yixuan Even Xu, Chun Kai Ling, Fei Fang
2024	A*	`conf`	Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications. ICLR Paul Pu Liang, Chun Kai Ling, Yun Cheng, Alexander Obolenskiy, Yudong Liu, Rohan Pandey, Alex Wilf, Louis-Philippe Morency, Russ Salakhutdinov
2024	A*	`conf`	Online bipartite matching with imperfect advice. ICML Davin Choo, Themistoklis Gouleakis, Chun Kai Ling, Arnab Bhattacharyya
2024	J	`jnl`	Online bipartite matching with imperfect advice. CoRR Davin Choo, Themis Gouleakis, Chun Kai Ling, Arnab Bhattacharyya
2023	A*	`conf`	Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. ICML Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown
2023	J	`jnl`	Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. CoRR Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown
2023	J	`jnl`	Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees. CoRR Weijia Zhang, Chun Kai Ling, Xuanhui Zhang
2023	A*	`conf`	Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. AAAI Chun Kai Ling, J. Zico Kolter, Fei Fang
2023	J	`jnl`	Learning Coalition Structures with Games. CoRR Yixuan Even Xu, Chun Kai Ling, Fei Fang
2023	—	`conf`	Multi-defender Security Games with Schedules. GameSec Zimeng Song, Chun Kai Ling, Fei Fang
2023	J	`jnl`	Multi-defender Security Games with Schedules. CoRR Zimeng Song, Chun Kai Ling, Fei Fang
2023	J	`jnl`	Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications. CoRR Paul Pu Liang, Chun Kai Ling, Yun Cheng, Alex Obolenskiy, Yudong Liu, Rohan Pandey, Alex Wilf, Louis-Philippe Morency, Ruslan Salakhutdinov
2023	J	`jnl`	Quantifying & Modeling Feature Interactions: An Information Decomposition Framework. CoRR Paul Pu Liang, Yun Cheng, Xiang Fan, Chun Kai Ling, Suzanne Nie, Richard J. Chen, Zihao Deng, Faisal Mahmood, Ruslan Salakhutdinov, Louis-Philippe Morency
2023	A*	`conf`	Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework. NeurIPS 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
2022	J	`jnl`	Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. CoRR Chun Kai Ling, J. Zico Kolter, Fei Fang
2022	A*	`conf`	Safe Subgame Resolving for Extensive Form Correlated Equilibrium. AAAI Chun Kai Ling, Fei Fang
2022	J	`jnl`	Safe Subgame Resolving for Extensive Form Correlated Equilibrium. CoRR Chun Kai Ling, Fei Fang
2021	A*	`conf`	Safe Search for Stackelberg Equilibria in Extensive-Form Games. AAAI Chun Kai Ling, Noam Brown
2021	J	`jnl`	Safe Search for Stackelberg Equilibria in Extensive-Form Games. CoRR Chun Kai Ling, Noam Brown
2020	A*	`conf`	Deep Archimedean Copulas. NeurIPS Chun Kai Ling, Fei Fang, J. Zico Kolter
2020	J	`jnl`	Deep Archimedean Copulas. CoRR Chun Kai Ling, Fei Fang, J. Zico Kolter
2020	A	`conf`	Nonmyopic Gaussian Process Optimization with Macro-Actions. AISTATS Dmitrii Kharkovskii, Chun Kai Ling, Bryan Kian Hsiang Low
2020	J	`jnl`	Nonmyopic Gaussian Process Optimization with Macro-Actions. CoRR Dmitrii Kharkovskii, Chun Kai Ling, Kian Hsiang Low
2019	A*	`conf`	Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks. NeurIPS Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
2019	J	`jnl`	Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks. CoRR Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
2019	A*	`conf`	Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium. NeurIPS Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
2019	J	`jnl`	Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium. CoRR Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
2019	A*	`conf`	Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. AAAI Chun Kai Ling, Fei Fang, J. Zico Kolter
2019	J	`jnl`	Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. CoRR Chun Kai Ling, Fei Fang, J. Zico Kolter
2018	A*	`conf`	What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games. IJCAI Chun Kai Ling, Fei Fang, J. Zico Kolter
2018	J	`jnl`	What game are we playing? End-to-end learning in normal and extensive form games. CoRR Chun Kai Ling, Fei Fang, J. Zico Kolter
2016	A*	`conf`	Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond. AAAI Chun Kai Ling, Kian Hsiang Low, Patrick Jaillet
2015	J	`jnl`	Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond. CoRR Chun Kai Ling, Kian Hsiang Low, Patrick Jaillet