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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"

50 / 86 papers shown

Title
Sufficient Decision Proxies for Decision-Focused Learning Noah Schutte Grigorii Veviurko Krzysztof Postek Neil Yorke-Smith 70 0 0 06 May 2025
A Domain-Agnostic Scalable AI Safety Ensuring Framework Beomjun Kim Kangyeon Kim Sunwoo Kim Heejin Ahn 149 0 0 29 Apr 2025
Self-Supervised Penalty-Based Learning for Robust Constrained Optimization Wyame Benslimane Paul Grigas 72 0 0 07 Mar 2025
Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management Shuyi Chen Ferdinando Fioretto Feng Qiu Shixiang Zhu 168 2 0 25 Feb 2025
Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making Prince Zizhuang Wang Jinhao Liang Shuyi Chen Ferdinando Fioretto Shixiang Zhu OffRL AI4CE 185 3 0 08 Feb 2025
Decision-Focused Learning for Complex System Identification: HVAC Management System Application Pietro Favaro Jean-François Toubeau François Vallée Yury Dvorkin AI4CE 30 1 0 24 Jan 2025
Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel $-$ Young Loss Perspective and Gap-Dependent Regret Analysis Shinsaku Sakaue Han Bao Taira Tsuchiya 199 2 0 23 Jan 2025
Learning Joint Models of Prediction and Optimization James Kotary Vincenzo Di Vito Jacob Cristopher Pascal Van Hentenryck Ferdinando Fioretto 49 2 0 07 Sep 2024
Exploring End-to-end Differentiable Neural Charged Particle Tracking -- A Loss Landscape Perspective T. Kortus Ralf Keidel N.R. Gauger 129 0 0 18 Jul 2024
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers Anselm Paulus Georg Martius Vít Musil AI4CE 112 1 0 08 Jul 2024
First-Order Methods for Linearly Constrained Bilevel Optimization Guy Kornowski Swati Padmanabhan Kai Wang Zhe Zhang S. Sra 155 5 0 18 Jun 2024
Learning Iterative Reasoning through Energy Diffusion Yilun Du Jiayuan Mao Joshua B. Tenenbaum LRM PINN 86 9 0 17 Jun 2024
Decision-focused Graph Neural Networks for Combinatorial Optimization Yang Liu Chuan Zhou Peng Zhang Xiaojun Jia Zhao Li Hongyang Chen GNN AI4CE 58 1 0 05 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 114 1 0 02 Jun 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
On the Robustness of Decision-Focused Learning Yehya Farhat 75 0 0 28 Nov 2023
DF2: Distribution-Free Decision-Focused Learning Lingkai Kong Wenhao Mu Jiaming Cui Yuchen Zhuang B. Prakash Bo Dai Chao Zhang OffRL 87 1 0 11 Aug 2023
Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees Pengfei Li Jianyi Yang Shaolei Ren OffRL 69 4 0 31 May 2023
Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective Adam N. Elmachtoub Henry Lam Haofeng Zhang Yunfan Zhao 165 6 0 13 Apr 2023
CILP: Co-simulation based Imitation Learner for Dynamic Resource Provisioning in Cloud Computing Environments Shreshth Tuli G. Casale N. Jennings 57 8 0 11 Feb 2023
Backpropagation of Unrolled Solvers with Folded Optimization James Kotary M. H. Dinh Ferdinando Fioretto 96 15 0 28 Jan 2023
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming Chunlin Sun Shang Liu Xiaocheng Li 96 10 0 26 Jan 2023
Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits Paritosh Verma Shresth Verma Aditya Mate Aparna Taneja Milind Tambe 42 0 0 19 Jan 2023
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds Ming Jin Vanshaj Khattar Harshal D. Kaushik Bilgehan Sel R. Jia 56 8 0 02 Dec 2022
End-to-End Stochastic Optimization with Energy-Based Model Lingkai Kong Jiaming Cui Yuchen Zhuang Rui Feng B. Prakash Chao Zhang 51 17 0 25 Nov 2022
The intersection of machine learning with forecasting and optimisation: theory and applications M. Abolghasemi 58 2 0 24 Nov 2022
Decision-Aware Learning for Optimizing Health Supply Chains Tsai-Hsuan Chung Vahideh Rostami Hamsa Bastani Osbert Bastani 50 14 0 15 Nov 2022
A Note on Task-Aware Loss via Reweighing Prediction Loss by Decision-Regret Connor Lawless Angela Zhou 16 3 0 09 Nov 2022
Differentiable Model Selection for Ensemble Learning James Kotary Vincenzo Di Vito Ferdinando Fioretto 189 9 0 01 Nov 2022
UNIFY: a Unified Policy Designing Framework for Solving Constrained Optimization Problems with Machine Learning Mattia Silvestri A. D. Filippo M. Lombardi M. Milano 40 0 0 25 Oct 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 42 7 0 17 Oct 2022
Social-Inverse: Inverse Decision-making of Social Contagion Management with Task Migrations G. Tong 60 2 0 21 Sep 2022
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models Pasquale Minervini Luca Franceschi Mathias Niepert 101 11 0 11 Sep 2022
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints Xinyi Hu Jasper C. H. Lee Jimmy Ho-man Lee 98 17 0 08 Sep 2022
AI Augmented Edge and Fog Computing: Trends and Challenges Shreshth Tuli Fatemeh Mirhakimi Samodha Pallewatta Syed Zawad G. Casale B. Javadi Feng Yan Rajkumar Buyya N. Jennings 63 59 0 01 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
Learning Iterative Reasoning through Energy Minimization Yilun Du Shuang Li J. Tenenbaum Igor Mordatch PINN 93 25 0 30 Jun 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
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
MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud Environments Shreshth Tuli G. Casale N. Jennings 96 2 0 21 May 2022
Tackling Provably Hard Representative Selection via Graph Neural Networks Seyed Mehran Kazemi Anton Tsitsulin Hossein Esfandiari M. Bateni Deepak Ramachandran Bryan Perozzi Vahab Mirrokni 117 3 0 20 May 2022
Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize Xinyi Hu Jasper C. H. Lee Jimmy Ho-man Lee Allen Z. Zhong 29 7 0 01 May 2022
Expert-Calibrated Learning for Online Optimization with Switching Costs Pengfei Li Jianyi Yang Shaolei Ren 73 12 0 18 Apr 2022
Gradient boosting for convex cone predict and optimize problems A. Butler R. Kwon 54 2 0 14 Apr 2022
SimPO: Simultaneous Prediction and Optimization Bing Zhang Yuya Jeremy Ong Taiga Nakamura 59 2 0 31 Mar 2022
An end-to-end predict-then-optimize clustering method for intelligent assignment problems in express systems Jinlei Zhang Ergang Shan Lixia Wu Lixing Yang Ziyou Gao Haoyuan Hu 50 4 0 18 Feb 2022
Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility Wai Tuck Wong Andrew Butler Ramesha Karunasena T. Nguyen Arunesh Sinha AAML 47 0 0 13 Feb 2022
A new perspective on classification: optimally allocating limited resources to uncertain tasks Toon Vanderschueren Bart Baesens Tim Verdonck Wouter Verbeke 53 6 0 09 Feb 2022