
Cardinality Minimization, Constraints, and Regularization: A Survey
We survey optimization problems that involve the cardinality of variable...
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Ecole: A Library for Learning Inside MILP Solvers
In this paper we describe Ecole (Extensible Combinatorial Optimization L...
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Learning to Schedule Heuristics in BranchandBound
Primal heuristics play a crucial role in exact solvers for Mixed Integer...
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Combinatorial optimization and reasoning with graph neural networks
Combinatorial optimization is a wellestablished area in operations rese...
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Predicting the probability distribution of bus travel time to move towards reliable planning of public transport services
An important aspect of the quality of a public transport service is its ...
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Can Machine Learning Help in Solving Cargo Capacity Management Booking Control Problems?
Revenue management is important for carriers (e.g., airlines and railroa...
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Estimating the Impact of an Improvement to a Revenue Management System: An Airline Application
Airlines have been making use of highly complex Revenue Management Syste...
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Computing Nash equilibria for integer programming games
The recently defined class of integer programming games (IPG) models sit...
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Stochastic Damped LBFGS with Controlled Norm of the Hessian Approximation
We propose a new stochastic variancereduced damped LBFGS algorithm, wh...
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Ecole: A Gymlike Library for Machine Learning in Combinatorial Optimization Solvers
We present Ecole, a new library to simplify machine learning research fo...
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Change Point Detection by CrossEntropy Maximization
Many offline unsupervised change point detection algorithms rely on mini...
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Reinforcement Learning Based Penetration Testing of a Microgrid Control Algorithm
Microgrids (MGs) are smallscale power systems which interconnect distri...
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Hybrid Models for Learning to Branch
A recent Graph Neural Network (GNN) approach for learning to branch has ...
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Provable Guarantees for General Twosided Sequential Matching Markets
Twosided markets have become increasingly more important during the las...
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Parameterizing BranchandBound Search Trees to Learn Branching Policies
Branch and Bound (B B) is the exact tree search method typically used ...
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A learningbased algorithm to quickly compute good primal solutions for Stochastic Integer Programs
We propose a novel approach using supervised learning to obtain nearopt...
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JANOS: An Integrated Predictive and Prescriptive Modeling Framework
Business research practice is witnessing a surge in the integration of p...
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Game theoretical analysis of Kidney Exchange Programs
The goal of a kidney exchange program (KEP) is to maximize number of tra...
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Learning chordal extensions
A highly influential ingredient of many techniques designed to exploit s...
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When Nash Meets Stackelberg
We analyze Nash games played among leaders of Stackelberg games (), and ...
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Nash Games Among Stackelberg Leaders
We analyze Nash games played among leaders of Stackelberg games (NASP). ...
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Learning to Handle Parameter Perturbations in Combinatorial Optimization: an Application to Facility Location
We present an approach to couple the resolution of Combinatorial Optimiz...
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Exact Combinatorial Optimization with Graph Convolutional Neural Networks
Combinatorial optimization problems are typically tackled by the branch...
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Activation Adaptation in Neural Networks
Many neural network architectures rely on the choice of the activation f...
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Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information
This paper offers a methodological contribution at the intersection of m...
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Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
This paper surveys the recent attempts, both from the machine learning a...
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Predicting Solution Summaries to Integer Linear Programs under Imperfect Information with Machine Learning
The paper provides a methodological contribution at the intersection of ...
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Learning to rank for censored survival data
Survival analysis is a type of semisupervised ranking task where the ta...
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An ILP Solver for Multilabel MRFS with Connectivity Constraints
Integer Linear Programming (ILP) formulations of Markov random fields (M...
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Deep Learning for PatientSpecific Kidney Graft Survival Analysis
An accurate model of patientspecific kidney graft survival distribution...
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Andrea Lodi
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