Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an accurate estim...
The use of computational models is increasingly expected to play an important role in predicting the behaviour of biological systems. Models are being sought at different scales o...
Abstract. The paper "Scrap your boilerplate" (SYB) introduces a combinator library for generic programming that offers generic traversals and queries. Classically, suppor...
Scheduling algorithms used in compilers traditionally focus on goals such as reducing schedule length and register pressure or producing compact code. In the context of a hardware...
Kevin Fan, Manjunath Kudlur, Hyunchul Park, Scott ...