gnobitab / MultiObjectiveSamplingLinks
☆17Updated 3 years ago
Alternatives and similar repositories for MultiObjectiveSampling
Users that are interested in MultiObjectiveSampling are comparing it to the libraries listed below
Sorting:
- [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
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Updated 2 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 4 years ago
- This is the official implementation for COSMOS: a method to learn Pareto fronts that scales to large datasets and deep models.☆39Updated 4 years ago
- Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization☆34Updated 5 years ago
- Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Paramet…☆28Updated 3 years ago
- Coresets via Bilevel Optimization☆67Updated 4 years ago
- ☆124Updated last year
- ☆32Updated 2 years ago
- Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"☆22Updated 4 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 6 years ago
- ☆15Updated 5 years ago
- A Continual Multi-agent RL testbed based on Hanabi☆31Updated 4 years ago
- Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020☆54Updated 5 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆64Updated 5 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆45Updated 3 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆65Updated 3 years ago
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 4 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)☆58Updated 5 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆62Updated 3 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 7 years ago
- A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)☆14Updated 5 years ago
- ☆24Updated 4 years ago
- [ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)☆24Updated 3 years ago
- Code implementing the CORE-RL algorithm with DDPG, PPO, and TRPO. See the paper "Control Regularization for Reduced Variance Reinforcemen…☆32Updated 4 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
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 4 years ago