Interior Point Solving for LP-based prediction+optimisation

26 October 2020

Papers citing "Interior Point Solving for LP-based prediction+optimisation"

23 / 23 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
Differentiable Nonlinear Model Predictive Control Jonathan Frey Katrin Baumgärtner G. Frison D. Reinhardt Jasper Hoffmann Leonard Fichtner S. Gros Moritz Diehl 28 0 0 02 May 2025
Provably-Safe Neural Network Training Using Hybrid Zonotope Reachability Analysis Long Kiu Chung Shreyas Kousik 275 0 0 22 Jan 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 32 0 0 05 Jun 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
Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks MD Shafikul Islam Azmine Toushik Wasi 16 1 0 02 Nov 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 30 58 0 25 Jul 2023
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
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures Yatin Nandwani Rishabh Ranjan Mausam Parag Singla 33 7 0 17 Oct 2022
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints Xinyi Hu Jasper C. H. Lee Jimmy Ho-man Lee 35 14 0 08 Sep 2022
APES: Articulated Part Extraction from Sprite Sheets Zhan Xu Matthew Fisher Yang Zhou Deepali Aneja Rushikesh Dudhat Li Yi E. Kalogerakis 44 2 0 04 Jun 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 19 7 0 01 May 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 24 2 0 31 Mar 2022
Efficient differentiable quadratic programming layers: an ADMM approach A. Butler R. Kwon 40 18 0 14 Dec 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 32 81 0 03 Jun 2021
Neuro-Symbolic Constraint Programming for Structured Prediction Paolo Dragone Stefano Teso Andrea Passerini 35 18 0 31 Mar 2021
Combinatorial optimization and reasoning with graph neural networks Quentin Cappart Didier Chételat Elias Boutros Khalil Andrea Lodi Christopher Morris Petar Velickovic AI4CE 34 352 0 18 Feb 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