nikikilbertus / general-iv-models
Bounding causal effects in general (continuous, non-additive) instrumental variable models.
☆14Updated last year
Alternatives and similar repositories for general-iv-models:
Users that are interested in general-iv-models are comparing it to the libraries listed below
- Uncertainty in Conditional Average Treatment Effect Estimation☆30Updated 4 years ago
- The holdout randomization test: feature selection using black box predictive models☆22Updated 4 years ago
- ☆17Updated last year
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 4 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆21Updated 2 years ago
- python code for kernel methods☆38Updated 6 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated 9 months ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆27Updated 4 years ago
- This packages provides a simple python implementation of Invariant Causal Prediction (ICP)☆13Updated last year
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- ☆26Updated 5 years ago
- ☆11Updated last year
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆29Updated 4 years ago
- Variational Fourier Features☆84Updated 3 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 4 years ago
- The Linear Optimal Transport Framework☆14Updated 4 years ago
- Pyro models and misc examples.☆19Updated 3 years ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆17Updated last year
- Implementation of the ALI-G algorithm (PyTorch, Tensorflow)☆22Updated 4 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Code to compute the Stein discrepancy between a sample distribution and its target☆16Updated 7 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 6 years ago
- AutoML Two-Sample Test☆19Updated 2 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Python package for evaluating model calibration in classification☆19Updated 5 years ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆24Updated 3 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago