qiqi-helloworld / RECOVERLinks
The code for the paper "An Online Method for A Class of Distributionally Robust Optimization with Non-Convex Objectives"
☆13Updated 3 years ago
Alternatives and similar repositories for RECOVER
Users that are interested in RECOVER are comparing it to the libraries listed below
Sorting:
- Implementation of "Interior Point Solving for LP-based prediction+optimisation" paper in Neurips 2020.☆20Updated last year
- Experiments for distributed optimization algorithms☆85Updated 2 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆65Updated 3 years ago
- Coresets for Wasserstein Distributionally Robust Optimization Problems☆13Updated 3 years ago
- Benchmark for bi-level optimization solvers☆50Updated 7 months 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
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆50Updated 4 years ago
- Experiments with distributionally robust optimization (DRO) for deep neural networks☆40Updated 6 years ago
- Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang and Zhihua Zhang. Federated Reinforcement Learning with Environment Heterogeneity. AISTATS, …☆63Updated 3 years ago
- ☆21Updated 4 years ago
- Official Repo for the NeurIPS2020 paper "Erdos Goes Neural: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs"☆51Updated 3 years ago
- An easy, modularized, DIY Federated Learning framework with many baselines for individual researchers.☆17Updated 2 years ago
- Predict and search framework for MilP☆67Updated 3 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆29Updated 4 years ago
- The Code for Homeomorphic Projection☆13Updated 2 years ago
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆42Updated last year
- Bi-level Optimization for Advanced Deep Learning☆47Updated 4 years ago
- Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"☆39Updated last year
- Code for "Decision-Focused Learning without Differentiable Optimization: Learning Locally Optimized Decision Losses"☆32Updated last year
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆17Updated last year
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆18Updated 3 years ago
- Multi-task end-to-end predict-then-optimize☆13Updated 2 years ago
- Neur2SP: Neural Two-Stage Stochastic Programming☆50Updated 2 years ago
- ☆40Updated 4 years ago
- MIE424 Group Project: smart_predict_optimize☆15Updated 4 years ago
- [NeurIPS2021] Federated Reinforcement Learning with Theoretical Guarantees. The repo contains code and experiments for our Federated Poli…☆103Updated 9 months ago
- source code of AISTATS 2020 paper: Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs☆12Updated 3 years ago
- Convex optimizers for LASSO, including subgradient, project gradient, proximal gradient, smooth method, lagrangian method and stochastic …☆49Updated 7 years ago
- ☆26Updated 4 years ago
- FedFormer: Contextual Federation with Attention in Reinforcement Learning (AAMAS 2023)☆43Updated last year