3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
Yuxin Tang, Zhimin Ding, Dimitrije Jankov +3
The relational data model was designed to facilitate large-scale data management and analytics. We consider the problem of how to differentiate computations expressed relationally.…
cs.DB2020★ 3 cited
Tensor Relational Algebra for Machine Learning System Design
Binhang Yuan, Dimitrije Jankov, Jia Zou +3
We consider the question: what is the abstraction that should be implemented by the computational engine of a machine learning system? Current machine learning systems typically pu…
stat.ME2018★ 2 cited
Bayesian Function-on-Scalars Regression for High Dimensional Data
Daniel R. Kowal, Daniel C. Bourgeois
We develop a fully Bayesian framework for function-on-scalars regression with many predictors. The functional data response is modeled nonparametrically using unknown basis functio…