v1v2 (latest)

MIPaaL: Mixed Integer Program as a Layer

12 July 2019

Papers citing "MIPaaL: Mixed Integer Program as a Layer"

50 / 84 papers shown

Title
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach Rares Cristian Pavithra Harsha Georgia Perakis Brian Quanz 78 0 0 16 May 2025
Multi-Constraint Safe Reinforcement Learning via Closed-form Solution for Log-Sum-Exp Approximation of Control Barrier Functions Chenggang Wang Xinyi Wang Yutong Dong Lei Song Xinping Guan 72 0 0 01 May 2025
A Domain-Agnostic Scalable AI Safety Ensuring Framework Beomjun Kim Kangyeon Kim Sunwoo Kim Heejin Ahn 151 0 0 29 Apr 2025
PROPEL: Supervised and Reinforcement Learning for Large-Scale Supply Chain Planning Vahid Eghbal Akhlaghi Reza Zandehshahvar Pascal Van Hentenryck 66 1 0 10 Apr 2025
Neuro-symbolic Weak Supervision: Theory and Semantics Nijesh Upreti Vaishak Belle NAI 77 0 0 24 Mar 2025
Self-Supervised Penalty-Based Learning for Robust Constrained Optimization Wyame Benslimane Paul Grigas 72 0 0 07 Mar 2025
TreeFormer: Single-view Plant Skeleton Estimation via Tree-constrained Graph Generation Xinpeng Liu Hiroaki Santo Yosuke Toda Fumio Okura 109 0 0 25 Nov 2024
The Differentiable Feasibility Pump M. Cacciola Alexandre Forel A. Frangioni Andrea Lodi 103 0 0 05 Nov 2024
Learning to Optimize for Mixed-Integer Non-linear Programming Bo Tang Elias Boutros Khalil Ján Drgoňa 94 2 0 14 Oct 2024
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers Anselm Paulus Georg Martius Vít Musil AI4CE 112 1 0 08 Jul 2024
Differentiable Distributionally Robust Optimization Layers Xutao Ma Chao Ning Wenli Du 77 3 0 24 Jun 2024
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks Alan A. Lahoud Erik Schaffernicht J. A. Stork UQCV 60 0 0 05 Jun 2024
Differentiation of Multi-objective Data-driven Decision Pipeline Peng Li Lixia Wu Chaoqun Feng Haoyuan Hu Lei Fu Jieping Ye 119 1 0 02 Jun 2024
CF-OPT: Counterfactual Explanations for Structured Prediction Germain Vivier-Ardisson Alexandre Forel Axel Parmentier Thibaut Vidal OffRL CML BDL 84 1 0 28 May 2024
A fast algorithm to minimize prediction loss of the optimal solution in inverse optimization problem of MILP Akira Kitaoka 112 0 0 23 May 2024
Continuous Tensor Relaxation for Finding Diverse Solutions in Combinatorial Optimization Problems Yuma Ichikawa Hiroaki Iwashita CLL 60 1 0 03 Feb 2024
Learning to Configure Mathematical Programming Solvers by Mathematical Programming Gabriele Iommazzo C. D’Ambrosio A. Frangioni Leo Liberti 14 4 0 10 Jan 2024
Decision-focused predictions via pessimistic bilevel optimization: a computational study Víctor Bucarey Sophia Calderón Gonzalo Munoz Frédéric Semet 52 0 0 29 Dec 2023
Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization James Kotary Jacob K Christopher M. H. Dinh Ferdinando Fioretto 45 0 0 28 Dec 2023
Learning Lagrangian Multipliers for the Travelling Salesman Problem Augustin Parjadis Quentin Cappart B. Dilkina Aaron Ferber Louis-Martin Rousseau 68 2 0 22 Dec 2023
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs Bo Tang Elias Boutros Khalil 61 2 0 12 Dec 2023
Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization James Kotary Vincenzo Di Vito Jacob K Christopher Pascal Van Hentenryck Ferdinando Fioretto 83 3 0 22 Nov 2023
Rethinking and Benchmarking Predict-then-Optimize Paradigm for Combinatorial Optimization Problems Haoyu Geng Hang Ruan Runzhong Wang Yang Li Yang Wang Lei Chen Junchi Yan 70 0 0 13 Nov 2023
Robust Losses for Decision-Focused Learning Noah Schutte Krzysztof Postek Neil Yorke-Smith 92 5 0 06 Oct 2023
GenCO: Generating Diverse Designs with Combinatorial Constraints Aaron Ferber Arman Zharmagambetov Taoan Huang B. Dilkina Yuandong Tian 3DV 69 0 0 03 Oct 2023
Decision-Oriented Learning Using Differentiable Submodular Maximization for Multi-Robot Coordination Guan-Yu Shi Chak Lam Shek N. Karapetyan Pratap Tokekar 50 0 0 02 Oct 2023
Controlling Continuous Relaxation for Combinatorial Optimization Yuma Ichikawa 83 6 0 29 Sep 2023
You Shall Pass: Dealing with the Zero-Gradient Problem in Predict and Optimize for Convex Optimization Grigorii Veviurko Wendelin Bohmer Mathijs de Weerdt 75 2 0 30 Jul 2023
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities Jayanta Mandi James Kotary Senne Berden Maxime Mulamba Víctor Bucarey Tias Guns Ferdinando Fioretto AI4CE 133 72 0 25 Jul 2023
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information Arman Zharmagambetov Brandon Amos Aaron Ferber Taoan Huang B. Dilkina Yuandong Tian AI4CE 77 11 0 18 Jul 2023
On Learning Latent Models with Multi-Instance Weak Supervision Kaifu Wang Efi Tsamoura Dan Roth 88 9 0 23 Jun 2023
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty Utsav Sadana A. Chenreddy Erick Delage Alexandre Forel Emma Frejinger Thibaut Vidal AI4CE 114 88 0 17 Jun 2023
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize Sanket Shah Andrew Perrault Bryan Wilder Milind Tambe 48 10 0 26 May 2023
Machine Learning with Requirements: a Manifesto Eleonora Giunchiglia F. Imrie M. Schaar Thomas Lukasiewicz AI4TS OffRL VLM 71 7 0 07 Apr 2023
Decision-Oriented Learning with Differentiable Submodular Maximization for Vehicle Routing Problem Guan-Yu Shi Pratap Tokekar 52 3 0 02 Mar 2023
Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming Francesco Alesiani 41 4 0 28 Feb 2023
Learning to Solve Integer Linear Programs with Davis-Yin Splitting Daniel McKenzie Samy Wu Fung Howard Heaton 89 4 0 31 Jan 2023
Backpropagation of Unrolled Solvers with Folded Optimization James Kotary M. H. Dinh Ferdinando Fioretto 100 15 0 28 Jan 2023
Explainable Data-Driven Optimization: From Context to Decision and Back Again Alexandre Forel Axel Parmentier Thibaut Vidal 80 9 0 24 Jan 2023
Predict-and-Critic: Accelerated End-to-End Predictive Control for Cloud Computing through Reinforcement Learning Kaustubh Sridhar Vikram Singh Balakrishnan Narayanaswamy Abishek Sankararaman 41 1 0 02 Dec 2022
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds Ming Jin Vanshaj Khattar Harshal D. Kaushik Bilgehan Sel R. Jia 58 8 0 02 Dec 2022
A Note on Task-Aware Loss via Reweighing Prediction Loss by Decision-Regret Connor Lawless Angela Zhou 18 3 0 09 Nov 2022
SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems Aaron Ferber Taoan Huang Daochen Zha M. Schubert Benoit Steiner B. Dilkina Yuandong Tian 98 22 0 22 Oct 2022
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures Yatin Nandwani Rishabh Ranjan Mausam Parag Singla 44 7 0 17 Oct 2022
QuAnt: Quantum Annealing with Learnt Couplings Marcel Seelbach Benkner Maximilian Krahn Edith Tretschk Zorah Lähner Michael Moeller Vladislav Golyanik 64 5 0 13 Oct 2022
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models Pasquale Minervini Luca Franceschi Mathias Niepert 101 11 0 11 Sep 2022
Towards Improving Unit Commitment Economics: An Add-On Tailor for Renewable Energy and Reserve Predictions Xianbang Chen Yikui Liu Lei Wu 98 11 0 27 Aug 2022
Learning with Combinatorial Optimization Layers: a Probabilistic Approach Guillaume Dalle Léo Baty Louis Bouvier Axel Parmentier AI4CE 74 36 0 27 Jul 2022
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming Bo Tang Elias Boutros Khalil 87 33 0 28 Jun 2022
Attributions Beyond Neural Networks: The Linear Program Case Florian Peter Busch Matej Zečević Kristian Kersting Devendra Singh Dhami FAtt 41 0 0 14 Jun 2022