4 papers
Optimal sequencing depth for single-cell RNA-sequencing in Wasserstein space
Jakwang Kim, Sharvaj Kubal, Geoffrey Schiebinger
How many samples should one collect for an empirical distribution to be as close as possible to the true population? This question is not trivial in the context of single-cell RNA-…
STARK denoises spatial transcriptomics images via adaptive regularization
Sharvaj Kubal, Naomi Graham, Matthieu Heitz +4
We present an approach to denoising spatial transcriptomics images that is particularly effective for uncovering cell identities in the regime of ultra-low sequencing depths, and a…
Average-case thresholds for exact regularization of linear programs
Michael P. Friedlander, Sharvaj Kubal, Yaniv Plan +1
Small regularizers can preserve linear programming solutions exactly. This paper provides the first average-case analysis of exact regularization: with a standard Gaussian cost vec…
Log-concave Density Estimation with Independent Components
Sharvaj Kubal, Christian Campbell, Elina Robeva
We propose a method for estimating a log-concave density on from samples, under the assumption that there exists an orthogonal transformation that makes the component…