1 citations · 2 across the 6 of their papers we have counts for
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math.NA2019
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…
math.ST2019
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…
cs.LG2019
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…