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Lasse Vuursteen

2 accepted papers

2024

Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime

NeurIPS 2024poster

We study distributed goodness-of-fit testing for discrete distribution under bandwidth and differential privacy constraints. Information constraint distributed goodness-of-fit testing is a problem that has received considerable attention recently. The important case of discrete distributions is theo…

Cited by 1Source ↗PDF ↗Scholar ↗
2023

Optimal testing using combined test statistics across independent studies

NeurIPS 2023poster

Combining test statistics from independent trials or experiments is a popular method of meta-analysis. However, there is very limited theoretical understanding of the power of the combined test, especially in high-dimensional models considering composite hypotheses tests. We derive a mathematical fr…

Cited by 3Source ↗PDF ↗Scholar ↗