PredOpt / predopt-benchmarksLinks
This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase for benchmarking Predict-then-Optimize (PtO) problems using Decision-Focused Learning (DFL) approaches.
☆70Updated 10 months ago
Alternatives and similar repositories for predopt-benchmarks
Users that are interested in predopt-benchmarks are comparing it to the libraries listed below
Sorting:
- ☆26Updated 2 years ago
- ☆34Updated 5 years ago
- Code for the paper "Smart 'Predict, then Optimize'"☆87Updated last year
- Neur2SP: Neural Two-Stage Stochastic Programming☆53Updated 2 years ago
- An end-to-end framework for mixed-integer optimization with data-driven learned constraints.☆139Updated 2 years ago
- ☆30Updated 10 months ago
- ☆32Updated last year
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆35Updated 4 years ago
- Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs☆38Updated 8 months ago
- Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.☆21Updated last year
- Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"☆39Updated last year
- Learning-to-Optimize for Mixed-Integer Non-Linear Programming☆61Updated 2 months ago
- Multi-task end-to-end predict-then-optimize☆13Updated 2 years ago
- The Machine Learning Optimizer☆105Updated 2 years ago
- Hybrid Models for Learning to Branch (NeurIPS 2020)☆51Updated 4 years ago
- Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (…☆183Updated last month
- A package for tree-based statistical estimation and inference using optimal decision trees.☆41Updated last year
- ☆26Updated 4 years ago
- ☆21Updated 4 years ago
- Machine Learning for Combinatorial Optimization - NeurIPS'21 competition☆139Updated 3 years ago
- ☆50Updated 4 years ago
- DC3: A Learning Method for Optimization with Hard Constraints☆168Updated 4 years ago
- MIE424 Group Project: smart_predict_optimize☆15Updated 4 years ago
- Experiments with distributionally robust optimization (DRO) for deep neural networks☆40Updated 6 years ago
- [ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng L…☆56Updated 2 years ago
- Code for "Explainable Data-Driven Optimization" (ICML 2023)☆14Updated 2 years ago
- ☆40Updated 4 years ago
- [ICLR 2023 spotlight] "On Representing Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, W…☆37Updated 4 months ago
- Replication Code for Paper "Stochastic Optimization Forests".☆21Updated 4 years ago
- The official implementation of DIG-MILP☆14Updated 2 years ago