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:
- Deconfounding Reinforcement Learning in Observational Settings☆51Updated 6 years ago
- Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)☆45Updated 5 years ago
- ☆78Updated 4 years ago
- ☆32Updated 2 years ago
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆39Updated 3 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆52Updated 4 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆86Updated last year
- A Spatio-temporal point process simulator.☆48Updated 2 years ago
- ☆44Updated 3 years ago
- ☆32Updated 7 years ago
- PyTorch implementation of Stein Variational Gradient Descent☆45Updated 2 years ago
- Variational inference in Dirichlet process Gaussian mixture model (tensorflow implementation)☆13Updated 7 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- Code for "Neural causal learning from unknown interventions"☆105Updated 5 years ago
- Python3 implementation of the paper [Large-scale optimal transport map estimation using projection pursuit]☆15Updated 4 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆62Updated 3 years ago
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆46Updated 4 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆90Updated 5 years ago
- ☆48Updated 3 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆77Updated 3 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆28Updated 4 years ago
- LEAP is a novel tool for discovering latent temporal causal relations.☆17Updated 4 years ago
- Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing☆46Updated 2 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Updated 2 years ago
- ☆15Updated 5 years ago
- Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)☆61Updated 10 months ago
- ☆63Updated 5 years ago
- Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…☆53Updated 2 years ago
- ☆97Updated 2 years ago