activity
20102025
most citedSparse Principal Component Analysis via Variable Projection

163 citations · 704 across the 74 of their papers we have counts for

collaborators
Showing 2021Show all

8 papers · 1 filter

math.OC2021

Theoretical Advances in Current Estimation and Navigation from a Glider-Based Acoustic Doppler Current Profiler (ADCP)

Jacob Stevens-Haas, Sarah E. Webster, Aleksandr Aravkin

We examine acoustic Doppler current profiler (ADCP) measurements from underwater gliders to determine glider position, glider velocity, and subsurface current. ADCPs, however, do n…

stat.ME2021★ 1 cited

Analysis and Methods to Mitigate Effects of Under-reporting in Count Data

Jennifer Brennan, Marlena Bannick, Nicholas Kassebaum +4

Under-reporting of count data poses a major roadblock for prediction and inference. In this paper, we focus on the Pogit model, which deconvolves the generating Poisson process fro…

stat.ML2021

Robust Trimmed k-means

Olga Dorabiala, J. Nathan Kutz, Aleksandr Aravkin

Clustering is a fundamental tool in unsupervised learning, used to group objects by distinguishing between similar and dissimilar features of a given data set. One of the most comm…

physics.flu-dyn2021★ 7 cited

Promoting global stability in data-driven models of quadratic nonlinear dynamics

Alan A. Kaptanoglu, Jared L. Callaham, Christopher J. Hansen +2

Modeling realistic fluid and plasma flows is computationally intensive, motivating the use of reduced-order models for a variety of scientific and engineering tasks. However, it is…

physics.med-ph2021★ 10 cited

A hyperparameter-tuning approach to automated inverse planning

Kelsey Maass, Aleksandr Aravkin, Minsun Kim

Radiotherapy inverse planning often requires planners to modify parameters in the treatment planning system's objective function to produce clinically acceptable plans. Due to the…

math.OC2021★ 2 cited

l1-Norm Minimization with Regula Falsi Type Root Finding Methods

Metin Vural, Aleksandr Y. Aravkin, Sławomir Stan'czak

Sparse level-set formulations allow practitioners to find the minimum 1-norm solution subject to likelihood constraints. Prior art requires this constraint to be convex. In this le…