MIPaaL: Mixed Integer Program as a Layer

12 July 2019

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

25 / 25 papers shown

Title
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach Rares Cristian Pavithra Harsha Georgia Perakis Brian Quanz 19 0 0 16 May 2025
A Domain-Agnostic Scalable AI Safety Ensuring Framework Beomjun Kim Kangyeon Kim Sunwoo Kim Heejin Ahn 57 0 0 29 Apr 2025
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers Anselm Paulus Georg Martius Vít Musil AI4CE 55 1 0 08 Jul 2024
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks Alan A. Lahoud Erik Schaffernicht J. A. Stork UQCV 30 0 0 05 Jun 2024
Continuous Tensor Relaxation for Finding Diverse Solutions in Combinatorial Optimization Problems Yuma Ichikawa Hiroaki Iwashita CLL 21 1 0 03 Feb 2024
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs Bo Tang Elias Boutros Khalil 32 1 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 42 3 0 22 Nov 2023
You Shall Pass: Dealing with the Zero-Gradient Problem in Predict and Optimize for Convex Optimization Grigorii Veviurko Wendelin Bohmer Mathijs de Weerdt 38 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 28 58 0 25 Jul 2023
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize Sanket Shah Andrew Perrault Bryan Wilder Milind Tambe 28 9 0 26 May 2023
Machine Learning with Requirements: a Manifesto Eleonora Giunchiglia F. Imrie M. Schaar Thomas Lukasiewicz AI4TS OffRL VLM 45 5 0 07 Apr 2023
Explainable Data-Driven Optimization: From Context to Decision and Back Again Alexandre Forel Axel Parmentier Thibaut Vidal 30 7 0 24 Jan 2023
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures Yatin Nandwani Rishabh Ranjan Mausam Parag Singla 33 7 0 17 Oct 2022
Attributions Beyond Neural Networks: The Linear Program Case Florian Peter Busch Matej Zečević Kristian Kersting Devendra Singh Dhami FAtt 12 0 0 14 Jun 2022
APES: Articulated Part Extraction from Sprite Sheets Zhan Xu Matthew Fisher Yang Zhou Deepali Aneja Rushikesh Dudhat Li Yi E. Kalogerakis 41 2 0 04 Jun 2022
Designing Decision Support Systems for Emergency Response: Challenges and Opportunities Geoffrey Pettet Hunter Baxter S. Vazirizade Hemant Purohit Meiyi Ma Ayan Mukhopadhyay Abhishek Dubey 11 4 0 23 Feb 2022
Integrated Conditional Estimation-Optimization Sirui Chen Paul Grigas Zuo‐Jun Max Shen CML 35 25 0 24 Oct 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions Mathias Niepert Pasquale Minervini Luca Franceschi 32 81 0 03 Jun 2021
Contrastive Losses and Solution Caching for Predict-and-Optimize Maxime Mulamba Jayanta Mandi Michelangelo Diligenti M. Lombardi Víctor Bucarey Tias Guns 29 48 0 10 Nov 2020
Interior Point Solving for LP-based prediction+optimisation Jayanta Mandi Tias Guns 6 102 0 26 Oct 2020
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems Kai Wang Bryan Wilder Andrew Perrault Milind Tambe 21 28 0 18 Jun 2020
Physarum Powered Differentiable Linear Programming Layers and Applications Zihang Meng Sathya Ravi Vikas Singh 30 5 0 30 Apr 2020
It's Not What Machines Can Learn, It's What We Cannot Teach Gal Yehuda Moshe Gabel Assaf Schuster FaML 14 37 0 21 Feb 2020
Lossless Compression of Deep Neural Networks Thiago Serra Abhinav Kumar Srikumar Ramalingam 24 56 0 01 Jan 2020
Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems Jaynta Mandi Emir Demirović Peter Stuckey Tias Guns 17 143 0 22 Nov 2019