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MIPaaL: Mixed Integer Program as a Layer

12 July 2019

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

34 / 84 papers shown

Title
APES: Articulated Part Extraction from Sprite Sheets Zhan Xu Matthew Fisher Yang Zhou Deepali Aneja Rushikesh Dudhat Li Yi E. Kalogerakis 83 2 0 04 Jun 2022
Backpropagation through Combinatorial Algorithms: Identity with Projection Works Subham S. Sahoo Anselm Paulus Marin Vlastelica Vít Musil Volodymyr Kuleshov Georg Martius 98 20 0 30 May 2022
Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens Stefano Teso Laurens Bliek Andrea Borghesi M. Lombardi Neil Yorke-Smith Tias Guns Andrea Passerini 50 2 0 20 May 2022
Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses Sanket Shah Kai Wang Bryan Wilder Andrew Perrault Milind Tambe OffRL 72 13 0 30 Mar 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 48 4 0 23 Feb 2022
Decision-Focused Learning: Through the Lens of Learning to Rank Jayanta Mandi Víctor Bucarey Maxime Mulamba Ke Tchomba Tias Guns 85 48 0 07 Dec 2021
A Surrogate Objective Framework for Prediction+Optimization with Soft Constraints Kai Yan Jie Yan Chuan Luo Liting Chen Qingwei Lin Dongmei Zhang 19 3 0 22 Nov 2021
Integrated Conditional Estimation-Optimization Sirui Chen Paul Grigas Zuo‐Jun Max Shen CML 79 25 0 24 Oct 2021
The Perils of Learning Before Optimizing Chris Cameron Jason S. Hartford Taylor Lundy Kevin Leyton-Brown 20 19 0 18 Jun 2021
Learning Revenue-Maximizing Auctions With Differentiable Matching Michael J. Curry Uro Lyi Tom Goldstein John P. Dickerson 46 20 0 15 Jun 2021
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond Maria-Florina Balcan Siddharth Prasad Tuomas Sandholm Ellen Vitercik 57 39 0 08 Jun 2021
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach Ahmed Abbas Paul Swoboda 53 14 0 06 Jun 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions Mathias Niepert Pasquale Minervini Luca Franceschi 91 87 0 03 Jun 2021
Periodic Freight Demand Estimation for Large-scale Tactical Planning G. Laage Emma Frejinger G. Savard AI4TS 22 0 0 19 May 2021
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints Anselm Paulus Michal Rolínek Vít Musil Brandon Amos Georg Martius 82 62 0 05 May 2021
Neuro-algorithmic Policies enable Fast Combinatorial Generalization Marin Vlastelica Michal Rolínek Georg Martius 74 17 0 15 Feb 2021
Generative deep learning for decision making in gas networks Lovis Anderson Mark Turner T. Koch AI4CE 43 7 0 03 Feb 2021
Divide and Learn: A Divide and Conquer Approach for Predict+Optimize Ali Ugur Guler Emir Demirović Jeffrey Chan James Bailey C. Leckie Peter Stuckey 27 4 0 04 Dec 2020
Regularization of Persistent Homology Gradient Computation P. Corcoran Bailin Deng 52 5 0 11 Nov 2020
Contrastive Losses and Solution Caching for Predict-and-Optimize Maxime Mulamba Jayanta Mandi Michelangelo Diligenti M. Lombardi Víctor Bucarey Tias Guns 116 51 0 10 Nov 2020
Interior Point Solving for LP-based prediction+optimisation Jayanta Mandi Tias Guns 61 106 0 26 Oct 2020
Video Game Level Repair via Mixed Integer Linear Programming Hejia Zhang Matthew C. Fontaine Amy K. Hoover Julian Togelius B. Dilkina Stefanos Nikolaidis GAN 90 30 0 13 Oct 2020
Balanced Order Batching with Task-Oriented Graph Clustering Lu Duan Haoyuan Hu Zili Wu Guozheng Li Xinhang Zhang Yu Gong Yinghui Xu 30 3 0 19 Aug 2020
Understanding Deep Architectures with Reasoning Layer Xinshi Chen Yufei Zhang C. Reisinger Le Song AI4CE 127 7 0 24 Jun 2020
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems Kai Wang Bryan Wilder Andrew Perrault Milind Tambe 78 29 0 18 Jun 2020
Learning the Travelling Salesperson Problem Requires Rethinking Generalization Chaitanya K. Joshi Quentin Cappart Louis-Martin Rousseau T. Laurent 254 121 0 12 Jun 2020
Differentiable Greedy Submodular Maximization: Guarantees, Gradient Estimators, and Applications Shinsaku Sakaue 22 0 0 06 May 2020
Physarum Powered Differentiable Linear Programming Layers and Applications Zihang Meng Sathya Ravi Vikas Singh 83 5 0 30 Apr 2020
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers Michal Rolínek Paul Swoboda Dominik Zietlow Anselm Paulus Vít Musil Georg Martius 90 113 0 25 Mar 2020
It's Not What Machines Can Learn, It's What We Cannot Teach Gal Yehuda Moshe Gabel Assaf Schuster FaML 63 38 0 21 Feb 2020
Lossless Compression of Deep Neural Networks Thiago Serra Abhinav Kumar Srikumar Ramalingam 106 57 0 01 Jan 2020
Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems Jaynta Mandi Emir Demirović Peter Stuckey Tias Guns 76 146 0 22 Nov 2019
Generalization Bounds in the Predict-then-Optimize Framework Othman El Balghiti Adam N. Elmachtoub Paul Grigas Ambuj Tewari 83 69 0 27 May 2019
Learning to Optimize Contextually Constrained Problems for Real-Time Decision-Generation A. Babier Timothy C. Y. Chan Adam Diamant Rafid Mahmood 73 1 0 23 May 2018