Structured Low-Rank Approximation is a problem arising in a wide range of applications in Numerical Analysis and Engineering Sciences. Given an input matrix M, the goal is to comp...
Abstract. We present Hakaru, a new probabilistic programming system that allows composable reuse of distributions, queries, and inference algorithms, all expressed in a single lang...
Praveen Narayanan, Jacques Carette, Wren Romano, C...
Computer Science abounds in folktales about how — in the early days of computer programming — bit vectors were ingeniously used to encode and manipulate finite sets. Algorithm...
Resolution lies at the foundation of both logic programming and type class context reduction in functional languages. Terminating derivations by resolution have well-defined induc...
Peng Fu 0001, Ekaterina Komendantskaya, Tom Schrij...
Abstract. Foreign function interfaces are typically organised monolithically, tying together the specification of each foreign function with the mechanism used to make the functio...
We present a new constraint solver over Boolean variables, available as library(clpb)1 in SWI-Prolog. Our solver distinguishes itself from other available CLP(B) solvers by several...
In this paper we propose a novel non-parametric sampling approach to estimate posterior distributions from parameters of interest. This technique is particularly suited for models...
Alejandro Villagran, Gabriel Huerta, Marina Vannuc...
Common factor analysis (CFA) and principal component analysis (PCA) are widely used multivariate techniques. Using simulations, we compared CFA with PCA loadings for distortions o...