Konstantin Heß, M.Sc.
Doktorand und Wissenschaftlicher Mitarbeiter
Institute of Artificial Intelligence (AI) in Management
Postanschrift:
Geschwister-Scholl-Platz 1
80539 München
Publikationen
Forschungsschwerpunkte
- Causal machine learning
- Treatment effect estimation
- Bayesian methods
- Deep learning
- Neural differential equations
Akademischer Werdegang
M.Sc. Statistik, Imperial College London
- Focus on machine learning and Monte Carlo simulation
- Thesis on a Neural Variational Bayes Factor Approximation in Gamma-Ray Searches for Dark Matter Annihilation
B.Sc. Mathematics, Johannes Gutenberg Universität Mainz
- Focus on probability theory and numerical analysis
- Thesis on The Error Exponent in Maximum-Likelihood Approximations with Distributions of First-Order Tree-Dependence