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2021-03
Learning to Schedule Heuristics in Branch-and-Bound
2021-02
Branch-Price-and-Cut Algorithms for the Vehicle Routing Problem with Stochastic and Correlated Travel Times
Combinatorial optimization and reasoning with graph neural networks
Design and implementation of a modular interior-point solver for linear optimization
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
2020-12
Computing Nash equilibria for integer programming games.
2020-11
Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers
Learning to Handle Parameter Perturbations in Combinatorial Optimization: an Application to Facility Location
A note on the Lasserre hierarchy for different formulations of the maximum independent set problem
2020-10
Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers
The Quadratic Multiknapsack Problem with Conflicts and Balance Constraints
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
2020-08
Reinforcement Learning Based Penetration Testing of a Microgrid Control Algorithm.
Analyzing the Resiliency of Microgrid Control Algorithms Against Malicious Input
BDD-based optimization for the quadratic stable set problem
Machine Learning for Combinatorial Optimization: a Methodological Tour d’Horizon
European Journal of Operational Research
(2020-08-08)
www.sciencedirect.comPDF[Also on arXiv preprint arXiv:1811.06128 (2018-11-15)]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
On Generalized Surrogate Duality in Mixed-Integer Nonlinear Programming
Provable Guarantees for General Two-sided Sequential Matching Markets
Tabu search for the time-dependent vehicle routing problem with time windows on a road network
2020-05
An ILP Model for Multi-Label MRFs With Connectivity Constraints
Machine-learning-based column selection for column generation
2020-04
Travel speed prediction based on learning methods for home delivery
Preface to the special issue of INFOR on “continuous optimization and applications in machine learning and data analytics”
The Covering-Assignment Problem for Swarm-powered Ad-hoc Clouds: A Distributed 3D Mapping Use-case
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
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
2020-02
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies
2020-01
Hybrid Models for Learning to Branch
Activation Adaptation in Neural Networks.
2019-12
A Learning-Based Algorithm to Quickly Compute Good Primal Solutions for Stochastic Integer Programs.
A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs.
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
Disjunctive cuts for Mixed-Integer Conic Optimization.
Disjunctive cuts for mixed-integer conic optimization
2019-11
JANOS: An Integrated Predictive and Prescriptive Modeling Framework.
Game theoretical analysis of Kidney Exchange Programs.
Nonlinear chance-constrained problems with applications to hydro scheduling
2019-10
Learning chordal extensions.
Nash Games Among Stackelberg Leaders.
When Nash Meets Stackelberg
Learning chordal extensions
2019-09
Connectivity-constrained interactive annotations for panoptic segmentation
2019-07
Learning to Handle Parameter Perturbations in Combinatorial Optimization: an Application to Facility Location.
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
2018-08
A PCA-based approximation scheme for combinatorial optimization with uncertain and correlated data
2018-07
Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information
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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