Analysis of social media behavior of the 2020 presidential election candidates
This blog post analyzes the tweets of the 2020 presidential candidates using Fasttext and CNN
Bidirectional Encoder Representations from Transformers (BERT)
Comparing Bidirectional Encoder Representations from Transformers (BERT) with DistilBERT and Bidirectional Gated Recurrent Unit (BGRU) for anti-social online behavior detection
SHOPPER: A Probabalistic Consumer Choice Model
Estimating shopper preferences and price elasticities in a retail grocery setting.
Big Peer Review Challenge
Application of state-of-the-art text classification techniques ELMo and ULMFiT to A Dataset of Peer Reviews (PeerRead)
Deep Learning for Survival Analysis
Credit risk analytics using deep learning survival analysis
Causal Neural Networks
Individual Treatment Effect Estimation using a Residual Neural Network Architecture
Data Generating Process Simulation: The opossum package
Generating datasets with observed treatment effects for model evaluation
Efficient Experiments Through Inverse Propensity Score Weighting
Making A/B tests / randomised controlled trials more efficient through inverse propensity score weighting.
Uplift Modelling with Multiple Treatments
Evaluation and discussion of Uplift Models for multiple possible treatments in the area of Marketing Analytics.
Marketing Campaign Optimization: Profit modeling
Using real world online shop data to model and predict treatment effects on continuous variables, aiming for profit optimization
Correcting for Self-selection in Product Rating: Causal Recommender Systems
How Can We Account for Causal Effects in Recommendation Framework
Implementation of the Double/ Debiased Machine Learning Approach in Python
Double/ Debiased Machine Learning