1 citations · 1 across the 3 of their papers we have counts for
5 papers
Feature Selection on Lyme Disease Patient Survey Data
Joshua Vendrow, Jamie Haddock, Deanna Needell +1
Lyme disease is a rapidly growing illness that remains poorly understood within the medical community. Critical questions about when and why patients respond to treatment or stay i…
Greed Works: An Improved Analysis of Sampling Kaczmarz-Motzkin
Jamie Haddock, Anna Ma
Stochastic iterative algorithms have gained recent interest in machine learning and signal processing for solving large-scale systems of equations, . One such example is the…
On Inferences from Completed Data
Jamie Haddock, Denali Molitor, Deanna Needell +3
Matrix completion has become an extremely important technique as data scientists are routinely faced with large, incomplete datasets on which they wish to perform statistical infer…
Data-driven Algorithm Selection and Parameter Tuning: Two Case studies in Optimization and Signal Processing
Jesus A. De Loera, Jamie Haddock, Anna Ma +1
Machine learning algorithms typically rely on optimization subroutines and are well-known to provide very effective outcomes for many types of problems. Here, we flip the reliance…
The Minimum Euclidean-Norm Point on a Convex Polytope: Wolfe's Combinatorial Algorithm is Exponential
Jesus De Loera, Jamie Haddock, Luis Rademacher
The complexity of Philip Wolfe's method for the minimum Euclidean-norm point problem over a convex polytope has remained unknown since he proposed the method in 1974. The method is…