Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
☆20Jul 11, 2023Updated 2 years ago
Alternatives and similar repositories for SurCo
Users that are interested in SurCo are comparing it to the libraries listed below
Sorting:
- [CIKM 2022] Towards Automated Over-Sampling for Imbalanced Classification☆10Mar 20, 2023Updated 2 years ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆38Jul 20, 2023Updated 2 years ago
- ☆15Updated this week
- ☆34Oct 16, 2020Updated 5 years ago
- Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.☆21May 16, 2024Updated last year
- Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"☆39Jun 27, 2024Updated last year
- ☆27Dec 14, 2023Updated 2 years ago
- Offline Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits☆10Oct 21, 2024Updated last year
- ☆18May 14, 2024Updated last year
- ☆13Aug 29, 2022Updated 3 years ago
- [MLSys 2023] Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models☆16May 5, 2023Updated 2 years ago
- COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility☆14Feb 3, 2021Updated 5 years ago
- ☆12Sep 15, 2021Updated 4 years ago
- ☆16Jan 26, 2023Updated 3 years ago
- ☆16Jun 14, 2023Updated 2 years ago
- ☆16Nov 4, 2021Updated 4 years ago
- Codes for the paper "Data-Driven Sample Average Approximation with Covariate Information"☆13Aug 13, 2022Updated 3 years ago
- ☆15May 3, 2024Updated last year
- ☆13Mar 14, 2024Updated last year
- Cross-prediction-powered inference☆15Apr 26, 2024Updated last year
- MIE424 Group Project: smart_predict_optimize☆15Apr 27, 2021Updated 4 years ago
- Code for our paper Resources and Evaluations for Multi-Distribution Dense Information Retrieval☆16Jan 16, 2024Updated 2 years ago
- Code for "Explainable Data-Driven Optimization" (ICML 2023)☆14Jul 21, 2023Updated 2 years ago
- Code for Learning Sparse Nonlinear Dynamics via Mixed Integer Optimization☆16Jun 13, 2022Updated 3 years ago
- Convert CVXPY expressions to PyTorch expressions☆19Jul 8, 2025Updated 7 months ago
- A package for tree-based statistical estimation and inference using optimal decision trees.☆41Jul 14, 2024Updated last year
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆35Feb 12, 2021Updated 5 years ago
- Package for building Market Segmentation Trees, Choice Model Trees, and Isotonic Regression Trees☆17Apr 21, 2023Updated 2 years ago
- Code for paper: End-to-end Stochastic Optimization with Energy-based Model☆16Feb 14, 2023Updated 3 years ago
- TaskMet Task-driven Metric Learning for Model Learning☆20Feb 9, 2024Updated 2 years ago
- ☆38Jun 10, 2021Updated 4 years ago
- Pytorch implementation of regularization methods for deep networks obtained via kernel methods.☆23Dec 27, 2019Updated 6 years ago
- Code for the paper "Smart 'Predict, then Optimize'"☆88Aug 9, 2024Updated last year
- ☆22Mar 23, 2022Updated 3 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆73Apr 28, 2022Updated 3 years ago
- ☆27Jan 8, 2024Updated 2 years ago
- Minimal entropic value at risk (EVaR) portfolio construction under a Gaussian mixture model of returns.☆22May 8, 2024Updated last year
- [EMNLP 2021] Dataset and PyTorch Code for ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning☆15Nov 5, 2022Updated 3 years ago
- [KDD 2022] AutoShard: Automated Embedding Table Sharding for Recommender Systems☆22Mar 24, 2023Updated 2 years ago