ShriyaBhatija / MO-CBOLinks
Multi-Objective Causal Bayesian Optimisation, a new paradigm for finding Pareto-optimal interventions in multi-outcome causal models
☆15Updated 4 months ago
Alternatives and similar repositories for MO-CBO
Users that are interested in MO-CBO are comparing it to the libraries listed below
Sorting:
- Multi-group Gaussian process (MGGP)☆23Updated last year
- A toolbox for inference of mixture models☆16Updated 2 years ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆59Updated last year
- Jax SSM Library☆48Updated 2 years ago
- ☆18Updated 2 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated 2 years ago
- A community repository for benchmarking Bayesian methods☆12Updated 2 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- ☆17Updated 6 months ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 5 years ago
- ☆51Updated last year
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Simple, extensible implementations of some meta-learning algorithms in Jax☆10Updated 5 years ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆33Updated 2 years ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆24Updated 4 years ago
- Project on Causal Machine learning CS 7290☆16Updated 5 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆23Updated 2 years ago
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆25Updated 2 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Tutorials and sampling algorithm comparisons☆77Updated this week
- ☆30Updated 3 years ago
- Gaussian Process Model Building Interface☆51Updated 7 months ago
- Simulation based calibration and generation of synthetic data.☆56Updated 3 weeks ago
- This packages provides a simple python implementation of Invariant Causal Prediction (ICP)☆13Updated last year
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 4 years ago
- Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982☆21Updated 4 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago