Machine Learning

• 2
• 21 Students
• All Levels

Short introduction to Reinforcement Learning, mostly Q-learning

• 2
• 17 Students
• All Levels

This course deals with the intersection of causal inference, especially heterogeneity, and Machine Learning. We will see wh..

• 3
• 47 Students
• All Levels

We will mainly focus on Latent Dirichlet Allocation (LDA) and its extensions.

• 2
• 10 Students
• All Levels

Latent Dirichlet Allocation (LDA) extensions

• 2
• 31 Students
• All Levels

Introduction of Kalman filter including the background, calculation methodology and application.

• 2
• 5 Students
• All Levels

Presentation of the research paper "Assessing the Quality of Human-Generated Summaries with Weakly Supervised Learning"

• 2
• 16 Students
• All Levels

A systemic risk management tool

• 2
• 12 Students
• All Levels

The Shapley Decomposition is a model-agnostic tool which is able give a variable importance measure on a local level.

• 2
• 13 Students
• All Levels

Financial risk measure FRM (Financial Risk Meter) is proposed for Emerging markets (FRM@EM).

• 2
• 9 Students
• All Levels

K-expectile clustering