caus-am / dom_adapt
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
- ☆32Updated 6 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- ☆27Updated 4 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 2 years ago
- ☆30Updated 3 years ago
- ☆64Updated 4 years ago
- The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)☆19Updated 5 years ago
- Code for "Generative causal explanations of black-box classifiers"☆34Updated 4 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆60Updated 2 years ago
- Domain Adaptation as a Problem of Inference on Graphical Models☆29Updated 4 years ago
- References for Papers at the Intersection of Causality and Fairness☆18Updated 6 years ago
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆35Updated 2 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆73Updated 3 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- ☆15Updated 7 years ago
- Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style☆51Updated 3 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
- ☆14Updated last year
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- VAEs and nonlinear ICA: a unifying framework☆47Updated 5 years ago
- ☆44Updated 3 years ago
- CEVAE with VampPrior☆11Updated 6 years ago
- VAEs and nonlinear ICA: a unifying framework☆34Updated 4 years ago
- ☆31Updated 2 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- ☆38Updated 6 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆24Updated 2 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆20Updated last year
- Quantile risk minimization☆24Updated 8 months ago