namkoong-lab / droLinks
A package of distributionally robust optimization (DRO) methods. Implemented via cvxpy and PyTorch
☆136Updated 3 months ago
Alternatives and similar repositories for dro
Users that are interested in dro are comparing it to the libraries listed below
Sorting:
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆28Updated last year
- Benchmark for bi-level optimization solvers☆48Updated 3 months ago
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆196Updated 8 months ago
- A python package providing a benchmark with various specified distribution shift patterns.☆58Updated last year
- The LLMOPT project offers a comprehensive set of resources, including the model, dataset, training framework, and inference code, enablin…☆80Updated 4 months ago
- The official implementation of DIG-MILP☆14Updated last year
- Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization☆25Updated last month
- ☆26Updated last year
- PyTorch implementation for our NeurIPS 2023 spotlight paper "Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with G…☆67Updated 2 years ago
- Welcome to the 'In Context Learning Theory' Reading Group☆30Updated 10 months ago
- LibMOON is a standard and flexible framework to study gradient-based multiobjective optimization.☆106Updated 5 months ago
- ☆26Updated last year
- ☆54Updated 3 months ago
- [NeurIPS 2023] T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization☆65Updated 2 months ago
- This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase …☆49Updated 6 months ago
- A Python toolkit for Machine Learning (ML) practices for Combinatorial Optimization (CO).☆59Updated last month
- Neur2SP: Neural Two-Stage Stochastic Programming☆49Updated 2 years ago
- ☆15Updated 4 years ago
- ☆33Updated 2 years ago
- This is the code for G2MILP, a deep learning-based mixed-integer linear programming (MILP) instance generator.☆34Updated 11 months ago
- Learning Safety Constraints for Large Language Models (ICML2025)☆22Updated last month
- Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Paramet…☆28Updated 3 years ago
- Code of NeurIPS paper: arxiv.org/abs/2302.08224☆220Updated last year
- Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms☆283Updated 2 years ago
- Code for paper: End-to-end Stochastic Optimization with Energy-based Model☆16Updated 2 years ago
- This repo contains papers, books, tutorials and resources on Riemannian optimization.☆40Updated last week
- ☆32Updated last year
- Official implementation of the paper "Chain-of-Experts: When LLMs Meet Complex Operation Research Problems"☆103Updated 6 months ago
- Our maintained PFN repository. Come here to train SOTA PFNs.☆103Updated last week
- Recent research papers about Foundation Models for Combinatorial Optimization☆360Updated this week