facebookresearch / SurCo
Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
☆17Updated last year
Related projects ⓘ
Alternatives and complementary repositories for SurCo
- Code repo for ICML'23 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning☆35Updated last year
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆23Updated 8 months ago
- Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"☆36Updated 4 months ago
- MIE424 Group Project: smart_predict_optimize☆13Updated 3 years ago
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆27Updated 3 years ago
- ☆21Updated 2 years ago
- Code for the paper "Smart 'Predict, then Optimize'"☆66Updated 3 months ago
- Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.☆18Updated 6 months ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆36Updated last year
- ☆27Updated 2 months ago
- ☆28Updated 4 years ago
- Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.☆12Updated last year
- ☆11Updated 3 years ago
- [NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut☆17Updated 8 months ago
- ☆30Updated 2 weeks ago
- ☆15Updated last month
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 2 years ago
- Code for paper: End-to-end Stochastic Optimization with Energy-based Model☆16Updated last year
- Experiments with distributionally robust optimization (DRO) for deep neural networks☆32Updated 5 years ago
- Official implementation non-autoregressive combinatorial optimizaiton solvers, covering our ICLR 2023 paper and SCIENTIA SINICA Informati…☆31Updated last month
- Hybrid Models for Learning to Branch (NeurIPS 2020)☆47Updated 3 years ago
- TaskMet Task-driven Metric Learning for Model Learning☆18Updated 9 months ago
- ☆16Updated last year
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆55Updated last year
- ☆21Updated 3 years ago
- Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees☆15Updated last year
- A package for tree-based statistical estimation and inference using optimal decision trees.☆39Updated 4 months ago
- Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Paramet…☆27Updated 2 years ago
- ☆10Updated last year
- ☆15Updated 3 years ago