nke001 / causal_learning_unknown_interventionsLinks
Code for "Neural causal learning from unknown interventions"
☆104Updated 5 years ago
Alternatives and similar repositories for causal_learning_unknown_interventions
Users that are interested in causal_learning_unknown_interventions are comparing it to the libraries listed below
Sorting:
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- ☆65Updated last year
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 3 years ago
- Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)☆45Updated 5 years ago
- Causal Inference & Deep Learning, MIT IAP 2018☆89Updated 7 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆128Updated 5 years ago
- Explaining a black-box using Deep Variational Information Bottleneck Approach☆46Updated 2 years ago
- Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.☆51Updated 3 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆41Updated 2 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆33Updated 4 years ago
- References at the Intersection of Causality and Reinforcement Learning☆89Updated 5 years ago
- ☆44Updated 3 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 5 years ago
- ☆32Updated 7 years ago
- ☆30Updated 6 years ago
- 🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of featu…☆42Updated 2 years ago
- A minimal pytorch implementation of VAE, IWAE, MIWAE☆48Updated 2 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆54Updated 4 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)☆101Updated 3 years ago
- ☆63Updated 5 years ago
- ☆43Updated 7 years ago
- This repository contains the code used in a publication 'Active Learning for Decision-Making from Imbalanced Observational Data', Iiris S…☆11Updated 6 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated last year
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆132Updated 5 years ago