On February 3,  Prof. Saharon Rosset from the Tel Aviv University will give a talk titled:  Using Random Effects to Account for Correlations in Predictive Modeling Abstract: Correlations are ubiquitous in many domains, and can stem from spatial or temporal structure, repeated measures or otherwise clustered observations. Properly taking the correlations into account and using ... Read more

On January 27,  Dr. Yaniv Romano from the Technion will give a talk titled:  Statistics-Powered ML: Building Trust and Robustness in Black-Box Predictions Abstract: Modern ML models produce valuable predictions across various applications, influencing people’s lives, opportunities, and scientific advancements. However, these systems can fail in unexpected ways, delivering unreliable inferences and perpetuating biases present ... Read more