benchopt / benchmark_bilevel
Benchmark for bi-level optimization solvers
☆44Updated 4 months ago
Alternatives and similar repositories for benchmark_bilevel:
Users that are interested in benchmark_bilevel are comparing it to the libraries listed below
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆47Updated 3 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆59Updated 2 years ago
- Bi-level Optimization for Advanced Deep Learning☆44Updated 3 years ago
- ☆24Updated last year
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆63Updated 2 years ago
- ☆10Updated last year
- The MATLAB source code☆16Updated 5 years ago
- Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms☆276Updated last year
- Accompanying code for our NeurIPS 2019 paper☆12Updated 5 years ago
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆28Updated last year
- Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Paramet…☆27Updated 2 years ago
- Distributionally Robust Learning in PyTorch. Install with `pip install sqwash`.☆12Updated last year
- Code Repository for NeurIPS 2021 accepted paper, named "Torwards Gradient-based Bilevel Optimization with non-convex Followers and Beyond…☆10Updated 3 years ago
- A collection of papers and readings for non-convex optimization☆31Updated 6 years ago
- LipSDP - Lipschitz Estimation for Neural Networks☆66Updated 3 years ago
- This repo contains papers, books, tutorials and resources on Riemannian optimization.☆32Updated 4 months ago
- Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"☆15Updated 3 years ago
- Code for paper: End-to-end Stochastic Optimization with Energy-based Model☆16Updated 2 years ago
- Experiments for distributed optimization algorithms☆72Updated last year
- Stochastic Mirror Descent on CIFAR-10☆19Updated 5 years ago
- Code for the paper: Kernel Distributionally Robust Optimization☆13Updated 4 years ago
- Parallel Multi-Block ADMM with o(1/k) Convergence☆14Updated 9 years ago
- ☆29Updated last year
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆26Updated 3 years ago
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- Experiments with distributionally robust optimization (DRO) for deep neural networks☆35Updated 5 years ago
- Distributionally robust machine learning with Pytorch and Scikit-learn wrappers☆14Updated last month
- Neural Tangent Kernel Papers☆108Updated 2 months ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆26Updated 3 years ago
- Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the p…☆19Updated last year