VirgiAgl / DAG-GP
Code for the paper Multi-task Causal Learning with Gaussian Processes (https://arxiv.org/pdf/2009.12821.pdf)
β12Updated 4 years ago
Alternatives and similar repositories for DAG-GP:
Users that are interested in DAG-GP are comparing it to the libraries listed below
- Code for the Causal Bayesian Optimization algorithm (http://proceedings.mlr.press/v108/aglietti20a/aglietti20a.pdf)β29Updated 4 years ago
- π€Ώ Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0β27Updated last year
- β32Updated 6 years ago
- python code for kernel methodsβ38Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)β48Updated 5 years ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)β22Updated 3 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"β83Updated 9 months ago
- Code for the ICML 2019 paper: Distribution Calibration for Regressionβ21Updated last year
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by AdriΓ Garriga-Alonso, Carl Rasmussen and Laurence Aitchβ¦β32Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"β25Updated 3 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)β52Updated 4 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)β14Updated 6 years ago
- Code for the paper Gaussian process behaviour in wide deep networksβ47Updated 6 years ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"β17Updated 2 years ago
- β50Updated 8 months ago
- TIme series DiscoverY BENCHmark (tidybench)β37Updated last year
- Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Modelsβ11Updated 9 months ago
- Uncertainty in Conditional Average Treatment Effect Estimationβ30Updated 4 years ago
- Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testingβ46Updated last year
- Non-stationary spectral mixture kernels implemented in GPflowβ28Updated 6 years ago
- β16Updated 6 years ago
- A clean TensorFlow implementation of Concrete Dropoutβ23Updated 7 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)β42Updated 3 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoodsβ22Updated last year
- Stochastic Gradient Langevin Dynamics for Bayesian learningβ31Updated 3 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021β44Updated 3 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)β82Updated 4 years ago
- β28Updated 6 years ago
- Code repo for "Function-Space Distributions over Kernels"β31Updated 4 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.β38Updated 2 years ago