Search Results for author: Shulei Wang

Found 4 papers, 1 papers with code

Self-Supervised Metric Learning in Multi-View Data: A Downstream Task Perspective

no code implementations14 Jun 2021 Shulei Wang

To gain insights into this approach, we develop a statistical framework to theoretically study how self-supervised metric learning can benefit downstream tasks in the context of multi-view data.

Metric Learning Two-sample testing

Robust Differential Abundance Test in Compositional Data

no code implementations21 Jan 2021 Shulei Wang

However, because of the compositional constraint and the prevalence of zero counts in the data, differential abundance analysis in compositional data remains a complicated and unsolved statistical problem.

Methodology Statistics Theory Quantitative Methods Applications Statistics Theory

Treatment Effects Estimation by Uniform Transformer

1 code implementation9 Aug 2020 Ruoqi Yu, Shulei Wang

In this paper, we investigate weighting methods from a functional estimation perspective and argue that the weights needed for covariate balancing could differ from those needed for treatment effects estimation under low regularity conditions.

Methodology Statistics Theory Statistics Theory

Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective

no code implementations20 Nov 2017 Ronak Mehta, Hyunwoo J. Kim, Shulei Wang, Sterling C. Johnson, Ming Yuan, Vikas Singh

Recent results in coupled or temporal graphical models offer schemes for estimating the relationship structure between features when the data come from related (but distinct) longitudinal sources.

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