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Chun Kai Ling
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2020 – today
- 2024
- [c19]Yixuan Even Xu, Chun Kai Ling, Fei Fang:
Learning Coalition Structures with Games. AAAI 2024: 9944-9951 - [c18]Weijia Zhang, Chun Kai Ling, Xuanhui Zhang:
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees. AAAI 2024: 20613-20621 - [c17]Jakub Cerný, Chun Kai Ling, Darshan Chakrabarti, Jingwen Zhang, Gabriele Farina, Christian Kroer, Garud Iyengar:
Contested Logistics: A Game-Theoretic Approach. GameSec 2024: 124-146 - [c16]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 - [c15]Davin Choo, Themistoklis Gouleakis, Chun Kai Ling, Arnab Bhattacharyya:
Online bipartite matching with imperfect advice. ICML 2024 - [c14]Jakub Cerný, Chun Kai Ling, Christian Kroer, Garud Iyengar:
Layered Graph Security Games. IJCAI 2024: 2695-2703 - [i20]Jakub Cerný, Chun Kai Ling, Christian Kroer, Garud Iyengar:
Layered Graph Security Games. CoRR abs/2405.03070 (2024) - [i19]Davin Choo, Themis Gouleakis, Chun Kai Ling, Arnab Bhattacharyya:
Online bipartite matching with imperfect advice. CoRR abs/2405.09784 (2024) - [i18]Jakub Cerný, Chun Kai Ling, Darshan Chakrabarti, Jingwen Zhang, Gabriele Farina, Christian Kroer, Garud Iyengar:
Contested Logistics: A Game-Theoretic Approach. CoRR abs/2408.13057 (2024) - [i17]Davin Choo, Chun Kai Ling:
A short note about the learning-augmented secretary problem. CoRR abs/2410.06583 (2024) - 2023
- [c13]Chun Kai Ling, J. Zico Kolter, Fei Fang:
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. AAAI 2023: 5764-5772 - [c12]Zimeng Song, Chun Kai Ling, Fei Fang:
Multi-defender Security Games with Schedules. GameSec 2023: 65-85 - [c11]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: 32169-32193 - [c10]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 - [i16]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 abs/2301.09159 (2023) - [i15]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 abs/2302.12247 (2023) - [i14]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 abs/2306.04539 (2023) - [i13]Zimeng Song, Chun Kai Ling, Fei Fang:
Multi-defender Security Games with Schedules. CoRR abs/2311.16392 (2023) - [i12]Yixuan Even Xu, Chun Kai Ling, Fei Fang:
Learning Coalition Structures with Games. CoRR abs/2312.09058 (2023) - [i11]Weijia Zhang, Chun Kai Ling, Xuanhui Zhang:
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees. CoRR abs/2312.15566 (2023) - 2022
- [c9]Chun Kai Ling, Fei Fang:
Safe Subgame Resolving for Extensive Form Correlated Equilibrium. AAAI 2022: 5116-5123 - [i10]Chun Kai Ling, Fei Fang:
Safe Subgame Resolving for Extensive Form Correlated Equilibrium. CoRR abs/2212.14317 (2022) - [i9]Chun Kai Ling, J. Zico Kolter, Fei Fang:
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. CoRR abs/2212.14431 (2022) - 2021
- [c8]Chun Kai Ling, Noam Brown:
Safe Search for Stackelberg Equilibria in Extensive-Form Games. AAAI 2021: 5541-5548 - [i8]Chun Kai Ling, Noam Brown:
Safe Search for Stackelberg Equilibria in Extensive-Form Games. CoRR abs/2102.01775 (2021) - 2020
- [c7]Dmitrii Kharkovskii, Chun Kai Ling, Bryan Kian Hsiang Low:
Nonmyopic Gaussian Process Optimization with Macro-Actions. AISTATS 2020: 4593-4604 - [c6]Chun Kai Ling, Fei Fang, J. Zico Kolter:
Deep Archimedean Copulas. NeurIPS 2020 - [i7]Dmitrii Kharkovskii, Chun Kai Ling, Kian Hsiang Low:
Nonmyopic Gaussian Process Optimization with Macro-Actions. CoRR abs/2002.09670 (2020) - [i6]Chun Kai Ling, Fei Fang, J. Zico Kolter:
Deep Archimedean Copulas. CoRR abs/2012.03137 (2020)
2010 – 2019
- 2019
- [c5]Chun Kai Ling, Fei Fang, J. Zico Kolter:
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. AAAI 2019: 6104-6111 - [c4]Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm:
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium. NeurIPS 2019: 5187-5197 - [c3]Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm:
Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks. NeurIPS 2019: 9229-9239 - [i5]Chun Kai Ling, Fei Fang, J. Zico Kolter:
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games. CoRR abs/1903.04101 (2019) - [i4]Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm:
Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks. CoRR abs/1905.12564 (2019) - [i3]Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm:
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium. CoRR abs/1910.12450 (2019) - 2018
- [c2]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: 396-402 - [i2]Chun Kai Ling, Fei Fang, J. Zico Kolter:
What game are we playing? End-to-end learning in normal and extensive form games. CoRR abs/1805.02777 (2018) - 2016
- [c1]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: 1860-1866 - 2015
- [i1]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 abs/1511.06890 (2015)
Coauthor Index
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last updated on 2024-11-19 20:48 CET by the dblp team
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