Repositories

D3.1 Data Management Plan

D3.2 Learning Causal Models with Non-Commutative Polynomial Optimization

D3.4 A preliminary report on causal discovery with irregularly sampled time-series

ExDAG: Exact learning of DAGs

D4.1 Legal and ethical aspects of personalised nutrition

D4.2 Extending Probabilistic Graphical Models towards Time Series

This repository represents a toolkit for structure learning of Dynamic Bayesian Networks in the CoDiet project.

Benchmarking Stochastic Approximation Algorithms for Fairness-Constrained Training of Deep Neural Networks

This repository provides a tool to compare stochastic-constrained stochastic optimization algorithms on a fair learning task.