Ali Izadi

Ali Izadi

Master Student, Artifical Intelligence

Sitemap

A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Causal Normalizing Flow

9 minute read

Published:

In this blog post we discuss the idea of using normalizing flow for cause-effect discovery and multivariate causal discovery with results of three different normalizing flows on two datasets.

Probabilistic programming, Modeling the world through Uncertainty

5 minute read

Published:

This is the description of workshop on probabilistic programming held on Amirkabir Artificial Intelligence Student Summit on August 2021. In this blog post you become familiar with the concepts in probabilistic programming provided with all contents and sourses you need to start with.

portfolio

publications

Systematic Review of Causal Discovery using continuous optimization. Reformulating causal discovery as a graph matching problem

Published in aliizadi.github.io/, 2022

Causal inference has an important role in different areas including machine learning, providing new modelings that can answer new prediction tasks. In order to do causal inference, we need to discover causal relationships between variables. There are different approaches for causal discovery from observational data including score-based methods. The primary objective of this systematic review is to identify different score-based methods that formulate the problem as a continuous optimization one. The results show that there are different challenges in causal discovery with continuous optimization including modifications applied to the objective function of causal discovery, the causality constraint of the optimization problem, and the optimization algorithm. Also, we reformulate the problem of causal discovery as a graph matching problem which is a concave quadratic program, introducing a new direction for researching on causal discovery by continuous optimization.

Recommended citation: Ali Izadi. (2022). "Systematic Review of Causal Discovery using continuous optimization. Reformulating causal discovery as a graph matching problem." aliizadi.github.io. 1(1). http://aliizadi.github.io/files/paper1.pdf

talks

teaching