It is well known that physical activity plays a key role in maintaining good health. Over the past few decades, there has been a significant increase in both...

Semi-supervised clustering is a learning approach that primarily relies on unlabeled data but incorporates some prior information to improve the clustering r...

The CRM, IVADO, and GERAD organized jointly the Fifteenth Montreal Industrial Problem Solving Workshop, which was held at HEC Montréal on June 2-6, 2025. We ...

We examine the abatement investment and pricing decisions within a supply chain where consumers prioritize environmental performance. The product's green r...

We investigate a \(T\)-stage dynamic network formation game with linear-quadratic payoffs. Players interact through network which they create as a result...

Dealing with climate change requires that all countries engage in costly efforts to reduce their emissions. Reaching this objective has so far been elusive...

In this paper, we propose an efficient payment scheme for sustaining cooperation in finitely many times repeated Prisoner's Dilemma games. The scheme is pa...

We characterize cooperative and non-cooperative solutions of a dynamic game played over event tree when the transition probability are not given. We assume...

As the need for interpretable machine learning continues to grow, we propose a novel post-clustering method to generate counterfactual explanations for clust...

A shift toward shopping at (autonomous) wheeled vending stores is redefining urban retail. Compared with traditional brick-and-mortar stores, such mobile sto...

The \(p\)-median problem is a classical location problem where the goal is to select \(p\) facilities while minimizing the sum of distances from each loc...

Retailers routinely face the strategic decision of how to promote their products. Two of the most common promotion strategies are bundling and discounting. D...

We investigate the impact of information asymmetry regarding the producer of remanufactured products on the decisions of a manufacturer and an authorized r...

to account for tail risks associated with an uncertain loss. With limited data, the empirical entropic risk estimator, i.e. replacing the expectation in the ...

The Fourteenth Montreal Industrial Problem Solving Workshop, held May 13-17, 2024, was jointly organized by the Centre de recherches mathématiques (CRM), the...

We consider a provider of electric vehicle charging that operates a network of charging stations and uses time-varying pricing to maximize profit and reduce ...

The Thirteenth Montreal IPSW took place on August 21-25, 2023, and was jointly organized by the Centre de recherches mathématiques (CRM) and the Institute ...

Monte Carlo (MC) is widely used for the simulation of discrete time Markov chains. We consider the case of a \(d\)-dimensional continuous state space and w...

Randomized Quasi-Monte Carlo (RQMC) methods provide unbiased estimators whose variance often converges at a faster rate than standard Monte Carlo as a functi...

We consider the set of graphs that can be constructed from a one-vertex graph by repeatedly adding a clique or a stable set linked to all or none of the vert...