maxwshen / iap-cidlLinks
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
Sorting:
- Code for "Neural causal learning from unknown interventions"☆103Updated 4 years ago
- ☆87Updated 5 years ago
- ☆29Updated 6 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☆33Updated 4 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆156Updated 4 years ago
- Software and data for "Using Text Embeddings for Causal Inference"☆125Updated 4 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆30Updated 4 years ago
- Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"☆99Updated 5 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)☆43Updated 4 years ago
- References at the Intersection of Causality and Reinforcement Learning☆89Updated 4 years ago
- python code for kernel methods☆38Updated 6 years ago
- Kaggle's Causality Challenge Solution for team FirfiD☆26Updated 11 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆342Updated 4 years ago
- References for Papers at the Intersection of Causality and Fairness☆18Updated 6 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- ☆142Updated 7 years ago
- Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.☆51Updated 3 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- ☆16Updated 8 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆67Updated 6 years ago
- Reimplementation of NOTEARS in Tensorflow☆33Updated 2 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆131Updated 4 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 8 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆43Updated 8 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- Code for paper EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE☆40Updated 2 years ago