Publications

Finding the Sweet Spot: Trading Quality, Cost, and Speed During Inference-Time LLM Reflection

Fighting Sampling Bias: A Framework for Training and Evaluating Credit Scoring Models

Probabilistic Demand Forecasting with Graph Neural Networks

Recency: Prediction with a Single Data Point

Machine Learning for Credit Risk Analytics

Fairness in Credit Scoring: Assessment, Implementation and Profit Implications