Jake Roth

rothjakem@gmail.com
google scholar
github
I'm a PhD student in the ISyE department at the University of Minnesota where I'm fortunate to be advised by Dr. Ying Cui and Dr. Louis Chen. Previously, I was a pre-doc working in Dr. Mihai Anitescu's group at Argonne National Laboratory studying rare events in power networks. Prior to that, I worked on image reconstruction problems with Dr. Emil Sidky as a statistics MS student at the University of Chicago. And long ago, I was an undergrad at Claremont McKenna College.

Currently, I'm interested optimization problems involving uncertainty.

Publications

Journal Articles

Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction
Jake Roth, Ying Cui
Journal of Machine Learning Research, 2025
pdf| abstract| cite| code

On O(n) Algorithms for Projection onto the Top-k-sum Sublevel Set
Jake Roth, Ying Cui
Mathematical Programming Computation, 2025
pdf| abstract| cite| code

Failure Probability Constrained AC Optimal Power Flow
Anirudh Subramanyam, Jake Roth, Mihai Anitescu
IEEE Transactions on Power Systems, 2023
pdf| abstract| cite

A Kinetic Monte Carlo Approach for Simulating Cascading Transmission Line Failure
Jake Roth, David A. Barajas-Solano, Panos Stinis, Jonathan Weare, Mihai Anitescu
SIAM Multiscale Modeling and Simulation, 2021
pdf| abstract| cite


Conference Proceedings

Parameter selection with the Hotelling observer in linear iterative image reconstruction for breast tomosynthesis
Sean D. Rose, Jake Roth, Cole Zimmerman, Ingrid Reiser, Emil Y. Sidky, Xiaochuan Pan
SPIE, 2018
pdf| abstract| cite

Talks

Claremont McKenna College
2009 - 2013
University of Chicago
2016 - 2018
MCS @ Argonne
2018 - 2020
University of Minnesota
2020 - Present

Source: thanks to Sebastin Santy for the theme.