maxwshen / iap-cidl
Causal Inference & Deep Learning, MIT IAP 2018
☆88Updated 7 years ago
Alternatives and similar repositories for iap-cidl:
Users that are interested in iap-cidl are comparing it to the libraries listed below
- ☆87Updated 5 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆52Updated 4 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆31Updated 4 years ago
- Code for "Neural causal learning from unknown interventions"☆101Updated 4 years ago
- ☆29Updated 6 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆156Updated 3 years ago
- Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"☆99Updated 5 years ago
- Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)☆44Updated 4 years ago
- Software and data for "Using Text Embeddings for Causal Inference"☆124Updated 4 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆56Updated 2 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆30Updated 5 years ago
- python code for kernel methods☆38Updated 6 years ago
- References at the Intersection of Causality and Reinforcement Learning☆89Updated 4 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆130Updated 4 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆336Updated 4 years ago
- References for Papers at the Intersection of Causality and Fairness☆18Updated 6 years ago
- Kaggle's Causality Challenge Solution for team FirfiD☆26Updated 11 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆29Updated 4 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- ☆16Updated 8 years ago
- ☆141Updated 7 years ago
- Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.☆51Updated 3 years ago
- Reimplementation of NOTEARS in Tensorflow☆35Updated 2 years ago
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆83Updated 6 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆87Updated 2 years ago
- ☆38Updated 6 years ago
- ☆35Updated 5 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago