New arXiv paper studies how classifier reliability can drift under covariate shifts that preserve the confidence distribution, framing worst-case movement as a "fragility profile" tied to chi-squared…

#arXiv #MachineLearning #ModelCalibration #OpenSourceAI
https://arxiv.org/abs/2609.38917

Machine Learning Methods for Pricing and Hedging Derivatives

https://beefed.ai/en/machine-learning-pricing-hedging-derivatives

#DerivativesPricing #MachineLearning #NeuralNetworksOptions #ModelCalibration #HedgingStrategies