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 / 56 papers shown

Title
Conformalized Decision Risk Assessment Wenbin Zhou Agni Orfanoudaki Shixiang Zhu OffRL 17 0 0 19 May 2025
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
Sufficient Decision Proxies for Decision-Focused Learning Noah Schutte Grigorii Veviurko Krzysztof Postek Neil Yorke-Smith 39 0 0 06 May 2025
A Domain-Agnostic Scalable AI Safety Ensuring Framework Beomjun Kim Kangyeon Kim Sunwoo Kim Heejin Ahn 57 0 0 29 Apr 2025
Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management Shuyi Chen Ferdinando Fioretto Feng Qiu Shixiang Zhu 80 2 0 25 Feb 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 45 2 0 23 Jan 2025
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers Anselm Paulus Georg Martius Vít Musil AI4CE 60 1 0 08 Jul 2024
First-Order Methods for Linearly Constrained Bilevel Optimization Guy Kornowski Swati Padmanabhan Kai Wang Zhe Zhang S. Sra 82 5 0 18 Jun 2024
Decision-focused Graph Neural Networks for Combinatorial Optimization Yang Liu Chuan Zhou Peng Zhang Xiaojun Jia Zhao Li Hongyang Chen GNN AI4CE 41 1 0 05 Jun 2024
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks Alan A. Lahoud Erik Schaffernicht J. A. Stork UQCV 32 0 0 05 Jun 2024
Building Socially-Equitable Public Models Yejia Liu Jianyi Yang Pengfei Li Tongxin Li Shaolei Ren OffRL 46 0 0 04 Jun 2024
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 47 3 0 22 Nov 2023
Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks MD Shafikul Islam Azmine Toushik Wasi 19 1 0 02 Nov 2023
Data-driven decision-focused surrogate modeling Rishabh Gupta Qi Zhang OffRL AI4CE 33 12 0 23 Aug 2023
DF2: Distribution-Free Decision-Focused Learning Lingkai Kong Wenhao Mu Jiaming Cui Yuchen Zhuang B. Prakash Bo Dai Chao Zhang OffRL 44 1 0 11 Aug 2023
You Shall Pass: Dealing with the Zero-Gradient Problem in Predict and Optimize for Convex Optimization Grigorii Veviurko Wendelin Bohmer Mathijs de Weerdt 43 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 33 58 0 25 Jul 2023
Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees Pengfei Li Jianyi Yang Shaolei Ren OffRL 27 4 0 31 May 2023
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize Sanket Shah Andrew Perrault Bryan Wilder Milind Tambe 31 9 0 26 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 41 6 0 13 Apr 2023
Branch & Learn with Post-hoc Correction for Predict+Optimize with Unknown Parameters in Constraints Xinyi Hu Jasper C. H. Lee Jimmy Ho-man Lee 37 4 0 12 Mar 2023
CILP: Co-simulation based Imitation Learner for Dynamic Resource Provisioning in Cloud Computing Environments Shreshth Tuli G. Casale N. Jennings 37 8 0 11 Feb 2023
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming Chunlin Sun Shang Liu Xiaocheng Li 29 9 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 16 0 0 19 Jan 2023
Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing Hao Zhou Shaoming Li Guibin Jiang Jiaqi Zheng Dong Wang 35 17 0 28 Nov 2022
End-to-End Stochastic Optimization with Energy-Based Model Lingkai Kong Jiaming Cui Yuchen Zhuang Rui Feng B. Prakash Chao Zhang 24 16 0 25 Nov 2022
The intersection of machine learning with forecasting and optimisation: theory and applications M. Abolghasemi 34 1 0 24 Nov 2022
Decision-Aware Learning for Optimizing Health Supply Chains Tsai-Hsuan Chung Vahideh Rostami Hamsa Bastani Osbert Bastani 26 14 0 15 Nov 2022
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures Yatin Nandwani Rishabh Ranjan Mausam Parag Singla 33 7 0 17 Oct 2022
Differentiable Mathematical Programming for Object-Centric Representation Learning Adeel Pervez Phillip Lippe E. Gavves OCL 49 5 0 05 Oct 2022
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints Xinyi Hu Jasper C. H. Lee Jimmy Ho-man Lee 40 14 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 29 56 0 01 Aug 2022
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming Bo Tang Elias Boutros Khalil 26 30 0 28 Jun 2022
MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud Environments Shreshth Tuli G. Casale N. Jennings 22 2 0 21 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 21 7 0 01 May 2022
Expert-Calibrated Learning for Online Optimization with Switching Costs Pengfei Li Jianyi Yang Shaolei Ren 31 11 0 18 Apr 2022
Gradient boosting for convex cone predict and optimize problems A. Butler R. Kwon 28 2 0 14 Apr 2022
SimPO: Simultaneous Prediction and Optimization Bing Zhang Yuya Jeremy Ong Taiga Nakamura 27 2 0 31 Mar 2022
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 21 12 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 29 10 0 15 Dec 2021
Minimax Optimization: The Case of Convex-Submodular Arman Adibi Aryan Mokhtari Hamed Hassani 21 7 0 01 Nov 2021
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 37 81 0 03 Jun 2021
DC3: A learning method for optimization with hard constraints P. Donti David Rolnick J. Zico Kolter AI4CE 26 184 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 24 10 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 34 48 0 10 Nov 2020
Interior Point Solving for LP-based prediction+optimisation Jayanta Mandi Tias Guns 19 103 0 26 Oct 2020
Stochastic Optimization Forests Nathan Kallus Xiaojie Mao 32 48 0 17 Aug 2020
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems Kai Wang Bryan Wilder Andrew Perrault Milind Tambe 21 28 0 18 Jun 2020
Hybrid Classification and Reasoning for Image-based Constraint Solving Maxime Mulamba Jayanta Mandi Rocsildes Canoy Tias Guns 35 11 0 24 Mar 2020