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
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆28Updated 3 years ago
- Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"☆50Updated 3 years ago
- ☆17Updated 3 years ago
- Benchmark for bi-level optimization solvers☆49Updated 4 months ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆65Updated 3 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
- Example Code for paper "Provably Faster Algorithms for Bilevel Optimization"☆15Updated 3 years ago
- [NeurIPS 2021 | AIJ 2024] Multi-Objective Meta Learning☆15Updated last year
- Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"☆22Updated 3 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 4 years ago
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆67Updated 2 years ago
- Coresets via Bilevel Optimization☆67Updated 4 years ago
- ☆15Updated 4 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 7 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
- Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)☆44Updated 3 years ago
- The official implementation of A Unified Game-Theoretic Interpretation of Adversarial Robustness.☆22Updated 3 years ago
- LipSDP - Lipschitz Estimation for Neural Networks☆71Updated 3 years ago
- Code for paper 'ZO-AdaMM: Zeroth-Order Adaptive MomentumMethod for Black-Box Optimization'☆28Updated 5 years ago
- Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms☆284Updated 2 years ago
- Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Paramet…☆28Updated 3 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆61Updated 2 years ago
- Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"☆32Updated last year
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 3 years ago
- ☆32Updated 2 years ago
- "Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.☆61Updated 5 years ago
- Experiments for distributed optimization algorithms☆79Updated 2 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆133Updated last year
- ☆37Updated 4 years ago