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2021-12
Learning to Schedule Heuristics in Branch and Bound
2021-11
Adaptive First- and Second-Order Algorithms for Large-Scale Machine Learning.
ZERO: Playing Mathematical Programming Games.
The Cut and Play Algorithm: Computing Nash Equilibria via Outer Approximations.
Managing in real-time a vehicle routing plan with time-dependent travel times on a road network
2021-10
Lattice Reformulation Cuts
Capacity Expansion in the College Admission Problem.
2021-09
Guidelines for the Computational Testing of Machine Learning approaches to Vehicle Routing Problems.
JANOS: An Integrated Predictive and Prescriptive Modeling Framework
Informs Journal on Computing
(2021-09-28)
pubsonline.informs.org[Also on arXiv preprint arXiv:1911.09461 (2019-11-21)]Predicting Tactical Solutions to Operational Planning Problems Under Imperfect Information
Informs Journal on Computing
(2021-09-21)
pubsonline.informs.org[Also on arXiv preprint arXiv:1901.07935 (2018-07-31)]An Exact Method for (Constrained) Assortment Optimization Problems with Product Costs
On the estimation of discrete choice models to capture irrational customer behaviors
Research Papers in Economics
(2021-09-01)
EconPapers.repec.org[LATEST on arXiv preprint arXiv:2109.03882 (2021-09-08)]2021-08
Combinatorial Optimization and Reasoning with Graph Neural Networks
2021-07
On generalized surrogate duality in mixed-integer nonlinear programming
On generalized surrogate duality in mixed-integer nonlinear programming
The Quadratic Multiknapsack Problem with Conflicts and Balance Constraints
2021-06
Machine-Learning–Based Column Selection for Column Generation
Measures of balance in combinatorial optimization
Cardinality Minimization, Constraints, and Regularization: A Survey.
2021-05
Exploring the Wasserstein metric for time-to-event analysis
The Covering-Assignment Problem for Swarm-Powered Ad Hoc Clouds: A Distributed 3-D Mapping Usecase
2021-04
Machine learning for combinatorial optimization: A methodological tour d’horizon
European Journal of Operational Research
(2021-04-16)
www.sciencedirect.comPDF[Also on arXiv preprint arXiv:1811.06128 (2018-11-15)]Ecole: A Library for Learning Inside MILP Solvers.
2021-03
Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds
2021-02
Branch-Price-and-Cut Algorithms for the Vehicle Routing Problem with Stochastic and Correlated Travel Times
Design and implementation of a modular interior-point solver for linear optimization
Predicting the probability distribution of bus travel time to move towards reliable planning of public transport services.
2021-01
Can Machine Learning Help in Solving Cargo Capacity Management Booking Control Problems
Reinforcement Learning Based Penetration Testing of a Microgrid Control Algorithm
An Exact Algorithmic Framework for a Class of Mixed-Integer Programs with Equilibrium Constraints
Multilevel Approaches for the Critical Node Problem
Estimating the Impact of an Improvement to a Revenue Management System: An Airline Application.
Fairness over time in dynamic resource allocation with an application in Healthcare
Pump scheduling in drinking water distribution networks with an LP/NLP-based branch and bound
Learning chordal extensions
Journal of Global Optimization
(2021-01-04)
link.springer.com[Also on arXiv preprint arXiv:1910.07600 (2019-10-16)][Also on Les Cahiers du GERAD (2019-10-01)]Learning in Local Branching (Invited Talk).
Assessing the Impact: Does an Improvement to a Revenue Management System Lead to an Improved Revenue?
A note on the Lasserre hierarchy for different formulations of the maximum independent set problem
Tabu search for the time-dependent vehicle routing problem with time windows on a road network
2020-12
Stochastic Damped L-BFGS with Controlled Norm of the Hessian Approximation
Learning to handle parameter perturbations in Combinatorial Optimization: An application to facility location
EURO Journal on Transportation and Logistics
(2020-12-01)
www.sciencedirect.comPDF[Also on arXiv preprint arXiv:1907.05765 (2019-07-12)]Travel speed prediction based on learning methods for home delivery
2020-11
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies
2020-10
Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers
Learning Meets Combinatorial Algorithms at NeurIPS2020
(2020-10-17)
dblp.uni-trier.dePDF[LATEST on arXiv preprint arXiv:2011.06069 (2020-11-11)]Stochastic adaptive regularization with dynamic sampling for machine learning
Stochastic damped L-BFGS with controlled norm of the Hessian approximation
2020-09
A Partially Ranked Choice Model for Large-Scale Data-Driven Assortment Optimization
A Learning-Based Algorithm to Quickly Compute Good Primal Solutions for Stochastic Integer Programs
Change Point Detection by Cross-Entropy Maximization.
2020-08
Analyzing the Resiliency of Microgrid Control Algorithms Against Malicious Input
BDD-based optimization for the quadratic stable set problem
A multicut outer-approximation approach for competitive facility location under random utilities
2020-06
Hybrid Models for Learning to Branch
Design and implementation of a modular interior-point solver for linear optimization
Multi-agent Assortment Optimization in Sequential Matching Markets
Provable Guarantees for General Two-sided Sequential Matching Markets
2020-05
An ILP Model for Multi-Label MRFs With Connectivity Constraints
2020-04
Preface to the special issue of INFOR on “continuous optimization and applications in machine learning and data analytics”
Proceedings of the Edge Intelligence Workshop, Montréal, Canada, March 2--3, 2020
The Covering-Assignment Problem for swarm-powered ad-hoc clouds: A distributed 3D mapping use-case
Integrated integer programming and decision diagram search tree with an application to the maximum independent set problem
2020-03
Joint location and pricing within a user-optimized environment
2020-01
Mathematical Optimization for Efficient and Robust Energy Networks
Hybrid Models for Learning to Branch
Activation Adaptation in Neural Networks.
2019-12
Disjunctive cuts in Mixed-Integer Conic Optimization
Disjunctive cuts for mixed-integer conic optimization
2019-11
Game theoretical analysis of Kidney Exchange Programs.
Nonlinear chance-constrained problems with applications to hydro scheduling
2019-10
Nash Games Among Stackelberg Leaders.
When Nash Meets Stackelberg
2019-09
Connectivity-constrained interactive annotations for panoptic segmentation
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
2019-06
Using Cost-Based Solution Densities from TSP Relaxations to Solve Routing Problems
Learning MILP Resolution Outcomes Before Reaching Time-Limit
Tulip: An open-source interior-point linear optimization solver with abstract linear algebra
QPLIB: a library of quadratic programming instances
2019-05
Adverse Event Prediction by Telemonitoring and Deep Learning
2019-04
Solving Quadratic Programming by Cutting Planes
An Algorithm for Assortment Optimization Under Parametric Discrete Choice Models
2019-03
Ten years of feasibility pump, and counting
2019-01
A Decentralized Framework for the Optimal Coordination of Distributed Energy Resources
2018-12
Scheduling M2M traffic over LTE uplink of a dense small cell network
Eurasip Journal on Wireless Communications and Networking
(2018-12-01)
jwcn-eurasipjournals.springeropen.comPDF2018-10
Computing Nash equilibria for integer programming games
Les Cahiers du GERAD
(2018-10-01)
www.gerad.ca[LATEST on arXiv preprint arXiv:2012.07082 (2020-12-13)]2018-08
A PCA-based approximation scheme for combinatorial optimization with uncertain and correlated data
2018-07
Predicting Solution Summaries to Integer Linear Programs under Imperfect Information with Machine Learning.
2018-06
A Comparison of Optimization Methods for Multi-objective Constrained Bin Packing Problems
Learning a classification of mixed-integer quadratic programming problems
Learning to rank for censored survival data.
2018-04
Experiments on virtual private network design with concave capacity costs
2018-03
A polynomial algorithm for a continuous bilevel knapsack problem
2018-01
Exact and approximate solution methods for the vehicle routingproblem with stochastic and correlated travel times
A convex reformulation and an outer approximation for a class of binary quadratic program
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