10 citations · 29 across the 15 of their papers we have counts for
7 papers · 1 filter
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…
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…
Deep Archimedean Copulas
Chun Kai Ling, Fei Fang, J. Zico Kolter
A central problem in machine learning and statistics is to model joint densities of random variables from data. Copulas are joint cumulative distribution functions with uniform mar…
Nonmyopic Gaussian Process Optimization with Macro-Actions
Dmitrii Kharkovskii, Chun Kai Ling, Kian Hsiang Low
This paper presents a multi-staged approach to nonmyopic adaptive Gaussian process optimization (GPO) for Bayesian optimization (BO) of unknown, highly complex objective functions…
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games
Chun Kai Ling, Fei Fang, J. Zico Kolter
With the recent advances in solving large, zero-sum extensive form games, there is a growing interest in the inverse problem of inferring underlying game parameters given only acce…
What game are we playing? End-to-end learning in normal and extensive form games
Chun Kai Ling, Fei Fang, J. Zico Kolter
Although recent work in AI has made great progress in solving large, zero-sum, extensive-form games, the underlying assumption in most past work is that the parameters of the game…