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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 6Source ↗PDF ↗Scholar ↗
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 11Source ↗PDF ↗Scholar ↗