caus-am / dom_adaptLinks
Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"
☆18Updated 4 years ago
Alternatives and similar repositories for dom_adapt
Users that are interested in dom_adapt are comparing it to the libraries listed below
Sorting:
- ☆32Updated 6 years ago
- ☆27Updated 4 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 2 years ago
- ☆30Updated 3 years ago
- ☆63Updated 4 years ago
- ☆39Updated 6 years ago
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆35Updated 2 years ago
- References for Papers at the Intersection of Causality and Fairness☆18Updated 6 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆60Updated 2 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- ☆44Updated 3 years ago
- Code for "Generative causal explanations of black-box classifiers"☆34Updated 4 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 4 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆31Updated 5 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 3 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Updated 3 years ago
- Domain Adaptation as a Problem of Inference on Graphical Models☆29Updated 4 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆74Updated 3 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆52Updated 4 years ago
- The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)☆19Updated 5 years ago
- Code used in the paper "Score matching enables causal discovery of nonlinear additive noise models", Rolland et al., ICML 2022☆17Updated 3 years ago
- Code to reproduce the paper "Do causal predictors generalize better to new domains?"☆11Updated 4 months 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
- VAEs and nonlinear ICA: a unifying framework☆47Updated 5 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆24Updated 2 years ago
- A benchmark for distribution shift in tabular data☆53Updated last year
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- TensorFlow implementation of 'Core', proposed in "Conditional Variance Penalties and Domain Shift Robustness".☆10Updated 6 years ago