10 citations · 29 across the 15 of their papers we have counts for
17 papers
A short note about the learning-augmented secretary problem
Davin Choo, Chun Kai Ling
We consider the secretary problem through the lens of learning-augmented algorithms. As it is known that the best possible expected competitive ratio is in the classic settin…
Online bipartite matching with imperfect advice
Davin Choo, Themis Gouleakis, Chun Kai Ling +1
We study the problem of online unweighted bipartite matching with offline vertices and online vertices where one wishes to be competitive against the optimal offline algori…
Learning Coalition Structures with Games
Yixuan Even Xu, Chun Kai Ling, Fei Fang
Coalitions naturally exist in many real-world systems involving multiple decision makers such as ridesharing, security, and online ad auctions, but the coalition structure among th…
Multi-defender Security Games with Schedules
Zimeng Song, Chun Kai Ling, Fei Fang
Stackelberg Security Games are often used to model strategic interactions in high-stakes security settings. The majority of existing models focus on single-defender settings where…
Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications
Paul Pu Liang, Chun Kai Ling, Yun Cheng +6
In many machine learning systems that jointly learn from multiple modalities, a core research question is to understand the nature of multimodal interactions: how modalities combin…
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework
Paul Pu Liang, Yun Cheng, Xiang Fan +9
The recent explosion of interest in multimodal applications has resulted in a wide selection of datasets and methods for representing and integrating information from different mod…