r4hu1-5in9h / KIVLinks
Kernel Instrumental Variable Regression
☆9Updated 4 years ago
Alternatives and similar repositories for KIV
Users that are interested in KIV are comparing it to the libraries listed below
Sorting:
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆21Updated 3 years ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆24Updated 3 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Probabilistic Solution of Differential Equations☆13Updated 2 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- Random feature latent variable models in Python☆22Updated last year
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆18Updated 9 months ago
- ☆19Updated 3 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- ☆13Updated last year
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 2 years ago
- Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"☆23Updated 4 years ago
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Updated 3 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆21Updated 8 months ago
- ☆10Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Companion code for a tutorial on using Hydra.☆29Updated 4 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆29Updated 4 months ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆22Updated 2 years ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 2 years ago
- ☆9Updated last year
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)☆26Updated 3 years ago
- ☆17Updated 6 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆22Updated 11 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆21Updated 4 years ago