Model Aggregation

Theo Bourdais

My talk on Model Aggregation! This framework introduces Minimal Empirical Variance Aggregation (MEVA), a data-driven approach that integrates predictions from various models to enhance overall accuracy.

The method treats contributing models as black boxes and accommodates outputs from diverse methodologies, focusing on variance minimization for more robust estimation compared to traditional error minimization approaches.

Presentation Venues

UNCECOMP 2025
June 11, 2025
Rhodes, Greece
DTE AICOMAS
February 17, 2025
Paris, France
JPL
January 17, 2025
Pasadena, California, USA