6 citations · 11 across the 3 of their papers we have counts for
5 papers
Probability estimation and structured output prediction for learning preferences in last mile delivery
Rocsildes Canoy, Victor Bucarey, Yves Molenbruch +3
We study the problem of learning the preferences of drivers and planners in the context of last mile delivery. Given a data set containing historical decisions and delivery locatio…
Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP
Jayanta Mandi, Rocsildes Canoy, Víctor Bucarey +1
The traditional Capacitated Vehicle Routing Problem (CVRP) minimizes the total distance of the routes under the capacity constraints of the vehicles. But more often, the objective…
Learn-n-Route: Learning implicit preferences for vehicle routing
Rocsildes Canoy, Víctor Bucarey, Jayanta Mandi +1
We investigate a learning decision support system for vehicle routing, where the routing engine learns implicit preferences that human planners have when manually creating route pl…
An exact dynamic programming approach to segmented isotonic regression
Víctor Bucarey, Martine Labbé, Juan M. Morales +1
This paper proposes a polynomial-time algorithm to construct the monotone stepwise curve that minimizes the sum of squared errors with respect to a given cloud of data points. The…
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…