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Thuy-Duong Vuong

2 accepted papers

2024

Fairness in Submodular Maximization over a Matroid Constraint

AISTATS 2024poster

Submodular maximization over a matroid constraint is a fundamental problem with various applications in machine learning. Some of these applications involve decision-making over datapoints with sensitive attributes such as gender or race. In such settings, it is crucial to guarantee that the selecte…

Cited by 6SourcePDFScholar
2024

Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization

ICLR 2024poster

There is a long history, as well as a recent explosion of interest, in statistical and generative modeling approaches based on \emph{score functions} --- derivatives of the log-likelihood of a distribution. In seminal works, Hyv\"arinen proposed vanilla score matching as a way to learn distributions…

Cited by 11SourcePDFScholar