research
∙
08/18/2023
AI Hilbert: From Data and Background Knowledge to Automated Scientific Discovery
The discovery of scientific formulae that parsimoniously explain natural...
share
research
∙
11/29/2022
Bayesian Experimental Design for Symbolic Discovery
This study concerns the formulation and application of Bayesian optimal ...
research
∙
11/16/2021
Interpretable and Fair Boolean Rule Sets via Column Generation
This paper considers the learning of Boolean rules in either disjunctive...
research
∙
10/15/2021
LPRules: Rule Induction in Knowledge Graphs Using Linear Programming
Knowledge graph (KG) completion is a well-studied problem in AI. Rule-ba...
research
∙
09/03/2021
Integration of Data and Theory for Accelerated Derivable Symbolic Discovery
Scientists have long aimed to discover meaningful equations which accura...
research
∙
02/05/2021
Integer Programming for Causal Structure Learning in the Presence of Latent Variables
The problem of finding an ancestral acyclic directed mixed graph (ADMG) ...
research
∙
06/24/2020
Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping
In modern multilabel classification problems, each data instance belongs...
research
∙
06/11/2020
Symbolic Regression using Mixed-Integer Nonlinear Optimization
The Symbolic Regression (SR) problem, where the goal is to find a regres...
research
∙
06/05/2019
Generalized Linear Rule Models
This paper considers generalized linear models using rule-based features...
research
∙
05/24/2018
Boolean Decision Rules via Column Generation
This paper considers the learning of Boolean rules in either disjunctive...
research
∙
10/29/2017
