ZhaozhiQIAN / Compartmental-GP-NeurIPS-2020Links
Source code for "When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes" (NeurIPS 2020)
☆10Updated 4 years ago
Alternatives and similar repositories for Compartmental-GP-NeurIPS-2020
Users that are interested in Compartmental-GP-NeurIPS-2020 are comparing it to the libraries listed below
Sorting:
- ☆32Updated 2 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆51Updated 6 years ago
- ☆49Updated 3 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 3 years ago
- A Spatio-temporal point process simulator.☆46Updated 2 years ago
- ☆78Updated 4 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆48Updated 3 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Representation Learning in RL☆16Updated 3 years ago
- Library for Auto-Encoding Sequential Monte Carlo☆18Updated last year
- ☆21Updated 3 years ago
- ☆35Updated 5 years ago
- Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…☆39Updated 3 years ago
- ☆13Updated 6 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
- Code for paper Causal Confusion in Imitation Learning☆45Updated 5 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- ☆43Updated 3 years ago
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 4 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆84Updated 4 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Updated 2 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 5 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago