Archives for CORE

  Optimization methods are fundamental to data science and AI, enabling critical tasks such as sparse data recovery, clustering, dimensionality reduction, and data completion. They are also essential for training machine learning models, including neural networks. However, existing...

  Richard O’Neill (Federal Energy Regulatory Commission) invited by Nicolas Stevens will give a presentation on : Average Incremental Cost (AIC) Pricing for a Surplus-Maximizing Two-Sided Multi-Period Non-Convex ISO Auction Market Abstract : General equilibrium...

  François Maniquet (CORE) will give a presentation on : The welfare cost of social pressure Abstract : A basic assumption in welfare economics is that rational and well-informed choices reveal what a person considers is good for them. Social pressure, however, can be...

Jing Su (CORE) invited by ... will give a presentation on : Consumer fairness concerns for personalized pricing by two-sided platforms Abstract : Online platforms can track consumers’ behaviors to infer their willingness-to-pay and extract profits by offering personalized...