Model Validation Using Deep Generation of Stress Data

Explore a technical tutorial from Data Science Conference Europe 2023 that introduces an innovative approach to model validation through deep generative models. Learn how to assess model robustness by sampling unlikely events and introducing subtle shifts in input data, enabling comprehensive evaluation of model reactions across varying likelihood levels. Discover strategies for validating input and output data, measuring performance metrics, ensuring model stability, and improving interpretability - crucial skills in an environment with increasing model deployments. Master the application of deep generative models for robustness validation while gaining valuable insights into analyzing model behavior under diverse conditions. Originally presented by Vitaliy Pozdnyakov during the Tech Tutorials stream at DSC Europe 2023, this hour-long presentation delivers practical knowledge for enhancing model validation practices.