2 papers
cs.DS2025
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems
MichaÅ DereziÅski, Daniel LeJeune, Deanna Needell +1
Despite being a key bottleneck in many machine learning tasks, the cost of solving large linear systems has proven challenging to quantify due to problem-dependent quantities such…
math.ST2025
RandALO: Out-of-sample risk estimation in no time flat
Parth Nobel, Daniel LeJeune, Emmanuel J. Candès
Estimating out-of-sample risk for models trained on large high-dimensional datasets is an expensive but essential part of the machine learning process, enabling practitioners to op…