research
∙
02/23/2023
Warehouse Problem with Bounds, Fixed Costs and Complementarity Constraints
This paper studies an open question in the warehouse problem where a mer...
share
research
∙
02/06/2023
Fair Minimum Representation Clustering
Clustering is an unsupervised learning task that aims to partition data ...
research
∙
11/08/2022
A Simple Algorithm for Online Decision Making
Motivated by recent progress on online linear programming (OLP), we stud...
research
∙
10/17/2022
Cluster Explanation via Polyhedral Descriptions
Clustering is an unsupervised learning problem that aims to partition un...
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
∙
07/03/2021
Fair Decision Rules for Binary Classification
In recent years, machine learning has begun automating decision making i...
research
∙
06/25/2021
Binary Matrix Factorisation and Completion via Integer Programming
Binary matrix factorisation is an essential tool for identifying discret...
research
∙
11/09/2020
Binary Matrix Factorisation via Column Generation
Identifying discrete patterns in binary data is an important dimensional...
research
∙
06/24/2020
Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping
In modern multilabel classification problems, each data instance belongs...
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
∙
05/09/2018
Robust-to-Dynamics Optimization
A robust-to-dynamics optimization (RDO) problem is an optimization probl...
research
∙
03/13/2018
Low-Rank Boolean Matrix Approximation by Integer Programming
Low-rank approximations of data matrices are an important dimensionality...
research
∙
10/29/2017
