callous-youth / IAPTT-GMLinks
Code Repository for NeurIPS 2021 accepted paper, named "Torwards Gradient-based Bilevel Optimization with non-convex Followers and Beyond"
☆11Updated 3 years ago
Alternatives and similar repositories for IAPTT-GM
Users that are interested in IAPTT-GM are comparing it to the libraries listed below
Sorting:
- Bi-level Optimization for Advanced Deep Learning☆47Updated 3 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆50Updated 3 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆28Updated 3 years ago
- Benchmark for bi-level optimization solvers☆48Updated 3 months ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆65Updated 3 years ago
- Experiments for distributed optimization algorithms☆79Updated 2 years ago
- ☆17Updated 3 years ago
- Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"☆15Updated 3 years ago
- Code for paper 'ZO-AdaMM: Zeroth-Order Adaptive MomentumMethod for Black-Box Optimization'☆28Updated 5 years ago
- Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"☆22Updated 3 years ago
- ☆15Updated 4 years ago
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆67Updated 2 years ago
- ☆37Updated 4 years ago
- A generic optimization method for any integer programming problem☆92Updated 4 years ago
- This is the official repo for the experiments in the paper "Bilevel Programming for Hyperparameter Optimization and Meta-Learning"☆29Updated 7 years ago
- Coresets via Bilevel Optimization☆66Updated 4 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 7 years ago
- [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…☆15Updated 3 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 4 years ago
- ☆32Updated 2 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆61Updated 2 years ago
- Zeroth-order Min-max Optimization☆12Updated 5 years ago
- Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)☆44Updated 2 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Updated 6 years ago
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆15Updated last year
- Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Paramet…☆28Updated 3 years ago
- Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms☆283Updated 2 years ago
- This repository is the implementation of Deep Dirichlet Process Mixture Models (UAI 2022)☆13Updated 3 years ago
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆24Updated 3 years ago
- Federated Bilevel Optimization☆16Updated 3 years ago