2 papers
cs.PL2019
Approximations in Probabilistic Programs
Ekansh Sharma, Daniel M. Roy
We study the first-order probabilistic programming language introduced by Staton et al. (2016), but with an additional language construct, , that, like the fixpoint…
stat.ML2017
Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization
Victor Veitch, Ekansh Sharma, Zacharie Naulet +1
A variety of machine learning tasks---e.g., matrix factorization, topic modelling, and feature allocation---can be viewed as learning the parameters of a probability distribution o…