39 citations · 56 across the 3 of their papers we have counts for
4 papers
Applied Measure Theory for Probabilistic Modeling
Chad Scherrer, Moritz Schauer
Probabilistic programming and statistical computing are vibrant areas in the development of the Julia programming language, but the underlying infrastructure dramatically predates…
What's the Over/Under? Probabilistic Bounds on Information Leakage
Ian Sweet, Jose Manuel Calderon Trilla, Chad Scherrer +2
Quantitative information flow (QIF) is concerned with measuring how much of a secret is leaked to an adversary who observes the result of a computation that uses it. Prior work has…
Feature Clustering for Accelerating Parallel Coordinate Descent
Chad Scherrer, Ambuj Tewari, Mahantesh Halappanavar +1
Large-scale L1-regularized loss minimization problems arise in high-dimensional applications such as compressed sensing and high-dimensional supervised learning, including classifi…
Scaling Up Coordinate Descent Algorithms for Large Regularization Problems
Chad Scherrer, Mahantesh Halappanavar, Ambuj Tewari +1
We present a generic framework for parallel coordinate descent (CD) algorithms that includes, as special cases, the original sequential algorithms Cyclic CD and Stochastic CD, as w…