mrojascarulla / causal_transfer_learning
☆30Updated 6 years ago
Related projects: ⓘ
- Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"☆18Updated 3 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆19Updated last year
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆29Updated 4 years ago
- ☆27Updated 3 years ago
- An Empirical Study of Invariant Risk Minimization☆28Updated 4 years ago
- ☆35Updated 5 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆19Updated last year
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆33Updated 2 years ago
- ☆65Updated 3 years ago
- ☆41Updated 2 years ago
- Self-Explaining Neural Networks☆14Updated last year
- Training quantile models☆36Updated 3 years ago
- TensorFlow implementation of 'Core', proposed in "Conditional Variance Penalties and Domain Shift Robustness".☆10Updated 5 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆24Updated 2 years ago
- Code for "Generative causal explanations of black-box classifiers"☆32Updated 3 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆26Updated 4 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago
- ☆10Updated 4 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆23Updated 2 years ago
- ☆29Updated 2 years ago
- Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.☆8Updated 4 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆53Updated 3 years ago
- Non-Parametric Calibration for Classification (AISTATS 2020)☆18Updated 2 years ago
- ☆32Updated 4 years ago
- Domain Adaptation as a Problem of Inference on Graphical Models☆29Updated 3 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 3 years ago
- Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021☆24Updated 2 years ago
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆19Updated 7 months ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 3 years ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆16Updated last year