Xingdong Zuo

Xingdong Zuo

Machine Learning Engineer

University of Freiburg

Biography

I completed my M.Sc. degree in Machine Learning at the University of Freiburg. My research interests include causal inference, counterfactual reasoning, and model-based planning in reinforcement learning.

I am also interested in applying machine learning techniques to optimize well-being, in particular preventive healthcare and mental health.

Interests

  • Machine Learning
  • Causal Inference
  • Counterfactual Reasoning
  • Reinforcement Learning
  • Model-based Planning

Education

  • M.Sc. in Machine Learning, 2019

    University of Freiburg, Germany

  • B.Sc. in Applied Mathematics and Computer Science, 2015

    Linnaeus University, Sweden

Recent Blogs

WiFi connection problems in Ubuntu 20.04

Recently, I switched to a new WiFi provider. The connection is powered by a SIM card instead of a DSL cable. For this reason, I need a new WiFi router. However, my laptop is unable to connect to the router.
Last updated on Aug 29, 2020 5 min read tech

ClickUp

The Hard-Exploration Problem The “hard-exploration” problem refers to exploration in an environment with very sparse or even deceptive reward. It is difficult because random exploration in such scenarios can rarely discover successful states or obtain meaningful feedback.
Jun 5, 2020 1 min read productivity

Productivity Tricks in Machine Learning

In machine learning research, one often needs to run many experiments in parallel e.g. hyperparameter search. In this post, we gather some useful tricks in one place for better productivity.
Last updated on May 25, 2020 2 min read

Ergonomics as a Machine Learner

We all know that a healthy lifestyle could enable us to work much more efficiently and keep being creative. For machine learning researchers, a good health management could be even more important because many of us often have to sit quite long time on the chair.
May 25, 2020 2 min read health, productivity

Recent Publications

Quickly discover relevant content by filtering publications.

Numerical Simulation of Asano-Khrennikov-Ohya Quantum-like Decision Making Model.

In classical game theory, the rational behavior for the player is to make the decision which is approaching Nash equilibrium. The …
PDF

Tags

ClickUp ergonomics health machine learning network productivity quantum cognition quantum mechanics reinforcement learning research software task management tech troubleshooting ubuntu wifi