Chun Kai Ling

CoRR, April, 2025

Commitment to Sparse Strategies in Two-Player Games.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

A short note about the learning-augmented secretary problem.

[BibT_eX]

[DOI]

Davin Choo

CoRR, 2024

Layered Graph Security Games.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Online bipartite matching with imperfect advice.

[BibT_eX]

[DOI]

Davin Choo

Themistoklis Gouleakis

Arnab Bhattacharyya

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications.

[BibT_eX]

[DOI]

Louis-Philippe Morency

Russ Salakhutdinov

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Contested Logistics: A Game-Theoretic Approach.

[BibT_eX]

[DOI]

Proceedings of the Decision and Game Theory for Security - 15th International Conference, 2024

Learning Coalition Structures with Games.

[BibT_eX]

[DOI]

Yixuan Even Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees.

[BibT_eX]

[DOI]

Weijia Zhang

Xuanhui Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Quantifying & Modeling Feature Interactions: An Information Decomposition Framework.

[BibT_eX]

[DOI]

Louis-Philippe Morency

CoRR, 2023

Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework.

[BibT_eX]

[DOI]

Louis-Philippe Morency

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Abstracting Imperfect Information Away from Two-Player Zero-Sum Games.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Multi-defender Security Games with Schedules.

[BibT_eX]

[DOI]

Zimeng Song

Proceedings of the Decision and Game Theory for Security: 14th International Conference, 2023

Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Safe Subgame Resolving for Extensive Form Correlated Equilibrium.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Safe Search for Stackelberg Equilibria in Extensive-Form Games.

[BibT_eX]

[DOI]

Noam Brown

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Deep Archimedean Copulas.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Nonmyopic Gaussian Process Optimization with Macro-Actions.

[BibT_eX]

[DOI]

Dmitrii Kharkovskii

Bryan Kian Hsiang Low

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2016

Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond.

[BibT_eX]

[DOI]