Contrastive Losses and Solution Caching for Predict-and-Optimize

10 November 2020

Maxime Mulamba

Jayanta Mandi

Michelangelo Diligenti

Papers citing "Contrastive Losses and Solution Caching for Predict-and-Optimize"

30 / 30 papers shown

Title
Generalized Decision Focused Learning under Imprecise Uncertainty--Theoretical Study Keivan K1 Shariatmadar Neil Yorke-Smith Ahmad Osman Fabio Cuzzolin Hans Hallez David Moens 71 0 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 93 2 0 08 Feb 2025
Anatomy of Machines for Markowitz: Decision-Focused Learning for Mean-Variance Portfolio Optimization Junhyeong Lee Inwoo Tae Yongjae Lee 42 1 0 15 Sep 2024
Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization Hao Zhou Rongxiao Huang Shaoming Li Guibin Jiang Jiaqi Zheng Bing Cheng Wei Lin 35 1 0 18 Jul 2024
Exploring End-to-end Differentiable Neural Charged Particle Tracking -- A Loss Landscape Perspective T. Kortus Ralf Keidel N.R. Gauger 56 0 0 18 Jul 2024
Decision-Focused Evaluation of Worst-Case Distribution Shift Kevin Ren Yewon Byun Bryan Wilder OffRL 41 1 0 04 Jul 2024
Differentiable Distributionally Robust Optimization Layers Xutao Ma Chao Ning Wenli Du 50 3 0 24 Jun 2024
Differentiation of Multi-objective Data-driven Decision Pipeline Peng Li Lixia Wu Chaoqun Feng Haoyuan Hu Lei Fu Jieping Ye 41 1 0 02 Jun 2024
Continuous Tensor Relaxation for Finding Diverse Solutions in Combinatorial Optimization Problems Yuma Ichikawa Hiroaki Iwashita CLL 21 1 0 03 Feb 2024
Decision-focused predictions via pessimistic bilevel optimization: a computational study Víctor Bucarey Sophia Calderón Gonzalo Munoz Frédéric Semet 23 0 0 29 Dec 2023
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs Bo Tang Elias Boutros Khalil 24 1 0 12 Dec 2023
On the Robustness of Decision-Focused Learning Yehya Farhat 21 0 0 28 Nov 2023
Two-Stage Predict+Optimize for Mixed Integer Linear Programs with Unknown Parameters in Constraints Xinyi Hu Jasper C. H. Lee Jimmy Ho-man Lee 46 2 0 14 Nov 2023
Rethinking and Benchmarking Predict-then-Optimize Paradigm for Combinatorial Optimization Problems Haoyu Geng Hang Ruan Runzhong Wang Yang Li Yang Wang Lei Chen Junchi Yan 48 0 0 13 Nov 2023
A predict-and-optimize approach to profit-driven churn prevention Nuria Gómez-Vargas Sebastián Maldonado Carla Vairetti 26 2 0 10 Oct 2023
Robust Losses for Decision-Focused Learning Noah Schutte Krzysztof Postek Neil Yorke-Smith 44 4 0 06 Oct 2023
Controlling Continuous Relaxation for Combinatorial Optimization Yuma Ichikawa 32 4 0 29 Sep 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 28 57 0 25 Jul 2023
Score Function Gradient Estimation to Widen the Applicability of Decision-Focused Learning Mattia Silvestri Senne Berden Jayanta Mandi Ali .Irfan Mahmutougullari Maxime Mulamba Tias Guns M. Lombardi 56 4 0 11 Jul 2023
A Survey of Contextual Optimization Methods for Decision Making under Uncertainty Utsav Sadana A. Chenreddy Erick Delage Alexandre Forel Emma Frejinger Thibaut Vidal AI4CE 52 85 0 17 Jun 2023
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize Sanket Shah Andrew Perrault Bryan Wilder Milind Tambe 23 9 0 26 May 2023
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning Taoan Huang Aaron Ferber Yuandong Tian B. Dilkina Benoit Steiner 47 22 0 03 Feb 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
The intersection of machine learning with forecasting and optimisation: theory and applications M. Abolghasemi 23 1 0 24 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 18 0 0 25 Oct 2022
Learning with Combinatorial Optimization Layers: a Probabilistic Approach Guillaume Dalle Léo Baty Louis Bouvier Axel Parmentier AI4CE 21 33 0 27 Jul 2022
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming Bo Tang Elias Boutros Khalil 20 30 0 28 Jun 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 18 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 19 11 0 30 Mar 2022
Decision-Focused Learning: Through the Lens of Learning to Rank Jayanta Mandi Víctor Bucarey Maxime Mulamba Ke Tchomba Tias Guns 13 44 0 07 Dec 2021