v1v2 (latest)

Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization

14 September 2018

Papers citing "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"

36 / 86 papers shown

Title
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health Kai Wang Shresth Verma Aditya Mate Sanket Shah Aparna Taneja N. Madhiwalla Aparna Hegde Milind Tambe 65 13 0 02 Feb 2022
Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems Tianyu Zhao Xiang Pan Minghua Chen S. Low 84 10 0 15 Dec 2021
Integrated Conditional Estimation-Optimization Sirui Chen Paul Grigas Zuo‐Jun Max Shen CML 75 25 0 24 Oct 2021
Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP Jayanta Mandi Rocsildes Canoy Víctor Bucarey Tias Guns 59 7 0 10 Aug 2021
USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problems G. Tong 83 5 0 15 Jul 2021
Learning Revenue-Maximizing Auctions With Differentiable Matching Michael J. Curry Uro Lyi Tom Goldstein John P. Dickerson 46 20 0 15 Jun 2021
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning Kai Wang Sanket Shah Haipeng Chen Andrew Perrault Finale Doshi-Velez Milind Tambe OffRL 98 6 0 06 Jun 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions Mathias Niepert Pasquale Minervini Luca Franceschi 84 87 0 03 Jun 2021
DC3: A learning method for optimization with hard constraints P. Donti David Rolnick J. Zico Kolter AI4CE 87 196 0 25 Apr 2021
Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting J. Garcia A. Street Tito Homem-de-Mello F. Muñoz 62 11 0 26 Feb 2021
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 58 106 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
Stochastic Optimization Forests Nathan Kallus Xiaojie Mao 200 50 0 17 Aug 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 250 121 0 12 Jun 2020
Improving Deep Learning Models via Constraint-Based Domain Knowledge: a Brief Survey Andrea Borghesi Federico Baldo M. Milano AI4CE 64 36 0 19 May 2020
Hybrid Classification and Reasoning for Image-based Constraint Solving Maxime Mulamba Jayanta Mandi Rocsildes Canoy Tias Guns 69 11 0 24 Mar 2020
Decision Trees for Decision-Making under the Predict-then-Optimize Framework Adam N. Elmachtoub Jason Cheuk Nam Liang Ryan McNellis 67 118 0 29 Feb 2020
Lagrangian Duality for Constrained Deep Learning Ferdinando Fioretto Pascal Van Hentenryck Terrence W.K. Mak Cuong Tran Federico Baldo M. Lombardi PINN 61 84 0 26 Jan 2020
POPCORN: Partially Observed Prediction COnstrained ReiNforcement Learning Joseph D. Futoma M. C. Hughes Finale Doshi-Velez OffRL 78 51 0 13 Jan 2020
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework Wanxin Jin Zhaoran Wang Zhuoran Yang Shaoshuai Mou 96 80 0 30 Dec 2019
AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline Andrew Perrault Fei Fang Arunesh Sinha Milind Tambe 57 15 0 16 Dec 2019
Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems Jaynta Mandi Emir Demirović Peter Stuckey Tias Guns 76 146 0 22 Nov 2019
JANOS: An Integrated Predictive and Prescriptive Modeling Framework David Bergman Teng Huang Philip Brooks Andrea Lodi A. Raghunathan MU 67 50 0 21 Nov 2019
Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces A. Marchesi F. Trovò N. Gatti 50 18 0 18 Nov 2019
Differentiable Convex Optimization Layers Akshay Agrawal Brandon Amos Shane T. Barratt Stephen P. Boyd Steven Diamond Zico Kolter 102 666 0 28 Oct 2019
MIPaaL: Mixed Integer Program as a Layer Aaron Ferber Bryan Wilder B. Dilkina Milind Tambe 95 147 0 12 Jul 2019
Tackling Climate Change with Machine Learning David Rolnick P. Donti L. Kaack K. Kochanski Alexandre Lacoste ... Demis Hassabis John C. Platt F. Creutzig J. Chayes Yoshua Bengio AI4Cl AI4CE 110 815 0 10 Jun 2019
Deep Reasoning Networks: Thinking Fast and Slow Di Chen Yiwei Bai Wenting Zhao Sebastian Ament J. Gregoire Carla P. Gomes PINN LRM 86 24 0 03 Jun 2019
End to end learning and optimization on graphs Bryan Wilder Eric Ewing B. Dilkina Milind Tambe GNN 86 107 0 31 May 2019
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver Po-Wei Wang P. Donti Bryan Wilder Zico Kolter LRM NAI 88 265 0 29 May 2019
Generalization Bounds in the Predict-then-Optimize Framework Othman El Balghiti Adam N. Elmachtoub Paul Grigas Ambuj Tewari 67 69 0 27 May 2019
End-to-End Game-Focused Learning of Adversary Behavior in Security Games Andrew Perrault Bryan Wilder Eric Ewing Aditya Mate B. Dilkina Milind Tambe AAML 398 10 0 03 Mar 2019
Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data J. Killian Bryan Wilder Amit Sharma Daksha Shah Vinod Choudhary B. Dilkina Milind Tambe 61 58 0 05 Feb 2019
Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded Miten Mistry Dimitrios Letsios G. Krennrich Robert M. Lee Ruth Misener OffRL 82 53 0 02 Mar 2018