118 citations · 249 across the 32 of their papers we have counts for
5 papers · 1 filter
Contrastive Losses and Solution Caching for Predict-and-Optimize
Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti +3
Many decision-making processes involve solving a combinatorial optimization problem with uncertain input that can be estimated from historic data. Recently, problems in this class…
Interior Point Solving for LP-based prediction+optimisation
Jayanta Mandi, Tias Guns
Solving optimization problems is the key to decision making in many real-life analytics applications. However, the coefficients of the optimization problems are often uncertain and…
A framework for step-wise explaining how to solve constraint satisfaction problems
Bart Bogaerts, Emilio Gamba, Tias Guns
We explore the problem of step-wise explaining how to solve constraint satisfaction problems, with a use case on logic grid puzzles. More specifically, we study the problem of expl…
Hybrid Classification and Reasoning for Image-based Constraint Solving
Maxime Mulamba, Jayanta Mandi, Rocsildes Canoy +1
There is an increased interest in solving complex constrained problems where part of the input is not given as facts but received as raw sensor data such as images or speech. We wi…
Learning to rank for uplift modeling
Floris Devriendt, Tias Guns, Wouter Verbeke
Uplift modeling has effectively been used in fields such as marketing and customer retention, to target those customers that are most likely to respond due to the campaign or treat…