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Learning with Combinatorial Optimization Layers: a Probabilistic Approach
27 July 2022
Guillaume Dalle
Léo Baty
Louis Bouvier
Axel Parmentier
AI4CE
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Papers citing
"Learning with Combinatorial Optimization Layers: a Probabilistic Approach"
27 / 27 papers shown
Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints
Jayanta Mandi
Marianne Defresne
Senne Berden
Tias Guns
185
1
0
06 Oct 2025
Reproducibility in the Control of Autonomous Mobility-on-Demand Systems
Xinling Li
Meshal Alharbi
Daniele Gammelli
James Harrison
Filipe Rodrigues
Maximilian Schiffer
Marco Pavone
Emilio Frazzoli
Jinhua Zhao
G. Zardini
203
2
0
09 Jun 2025
Going from a Representative Agent to Counterfactuals in Combinatorial Choice
Yanqiu Ruan
Karthyek Murthy
K. Natarajan
364
0
0
29 May 2025
Structured Reinforcement Learning for Combinatorial Decision-Making
Heiko Hoppe
Léo Baty
Louis Bouvier
Axel Parmentier
Maximilian Schiffer
OffRL
605
6
0
25 May 2025
Primal-dual algorithm for contextual stochastic combinatorial optimization
Louis Bouvier
Thibault Prunet
Vincent Leclère
Axel Parmentier
284
4
0
07 May 2025
Optimization-Augmented Machine Learning for Vehicle Operations in Emergency Medical Services
Maximiliane Rautenstrauß
Maximilian Schiffer
203
2
0
14 Mar 2025
DistrictNet: Decision-aware learning for geographical districting
Neural Information Processing Systems (NeurIPS), 2024
Cheikh Ahmed
Alexandre Forel
Axel Parmentier
Thibaut Vidal
348
4
0
11 Dec 2024
The Differentiable Feasibility Pump
Conference on Integer Programming and Combinatorial Optimization (IPCO), 2024
M. Cacciola
Alexandre Forel
A. Frangioni
Andrea Lodi
399
0
0
05 Nov 2024
WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning
International Conference on Learning Representations (ICLR), 2024
Kai Jungel
Dario Paccagnan
Axel Parmentier
Maximilian Schiffer
194
3
0
09 Oct 2024
Generalization Bounds of Surrogate Policies for Combinatorial Optimization Problems
Pierre-Cyril Aubin-Frankowski
Yohann de Castro
Axel Parmentier
Alessandro Rudi
OffRL
356
5
0
24 Jul 2024
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers
Anselm Paulus
Georg Martius
Vít Musil
AI4CE
498
5
0
08 Jul 2024
Differentiable Distributionally Robust Optimization Layers
Xutao Ma
Chao Ning
Wenli Du
341
8
0
24 Jun 2024
CF-OPT: Counterfactual Explanations for Structured Prediction
Germain Vivier-Ardisson
Alexandre Forel
Axel Parmentier
Thibaut Vidal
OffRL
CML
BDL
448
3
0
28 May 2024
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs
Integration of AI and OR Techniques in Constraint Programming (CPAIOR), 2023
Bo Tang
Elias Boutros Khalil
294
6
0
12 Dec 2023
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts
Jonas Jürß
Lucie Charlotte Magister
Pietro Barbiero
Pietro Lio
Nikola Simidjievski
509
1
0
25 Nov 2023
Differentiable Cutting-plane Layers for Mixed-integer Linear Optimization
Gabriele Dragotto
Stefan Clarke
J. F. Fisac
Bartolomeo Stellato
635
8
0
06 Nov 2023
DFWLayer: Differentiable Frank-Wolfe Optimization Layer
Zixuan Liu
Liu Liu
Xueqian Wang
P. Zhao
AI4CE
346
1
0
21 Aug 2023
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities
Journal of Artificial Intelligence Research (JAIR), 2023
Jayanta Mandi
James Kotary
Senne Berden
Maxime Mulamba
Víctor Bucarey
Tias Guns
Ferdinando Fioretto
AI4CE
562
157
0
25 Jul 2023
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty
European Journal of Operational Research (EJOR), 2023
Utsav Sadana
A. Chenreddy
Erick Delage
Alexandre Forel
Emma Frejinger
Thibaut Vidal
AI4CE
435
177
0
17 Jun 2023
Combinatorial Optimization enriched Machine Learning to solve the Dynamic Vehicle Routing Problem with Time Windows
Transportation Science (Transp. Sci.), 2023
Léo Baty
Kai Jungel
P. Klein
Axel Parmentier
Maximilian Schiffer
302
54
0
03 Apr 2023
Learning-based Online Optimization for Autonomous Mobility-on-Demand Fleet Control
INFORMS journal on computing (IJOC), 2023
Kai Jungel
Axel Parmentier
Maximilian Schiffer
Thibaut Vidal
200
21
0
08 Feb 2023
Learning to Solve Integer Linear Programs with Davis-Yin Splitting
Daniel McKenzie
Samy Wu Fung
Howard Heaton
302
11
0
31 Jan 2023
Explainable Data-Driven Optimization: From Context to Decision and Back Again
International Conference on Machine Learning (ICML), 2023
Alexandre Forel
Axel Parmentier
Thibaut Vidal
384
16
0
24 Jan 2023
Learning predictive checklists from continuous medical data
Yukti Makhija
E. Brouwer
Rahul G. Krishnan
229
1
0
14 Nov 2022
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
Mathematical Programming Computation (MPC), 2022
Bo Tang
Elias Boutros Khalil
279
51
0
28 Jun 2022
Flexible Differentiable Optimization via Model Transformations
INFORMS journal on computing (IJOC), 2022
Mathieu Besançon
J. Garcia
B. Legat
Akshay Sharma
255
20
0
10 Jun 2022
Learning structured approximations of combinatorial optimization problems
Axel Parmentier
TPM
330
5
0
09 Jul 2021
1
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