Jain Vasu Raj

AN INTERPRETABLE AND LEAKAGE-SAFE MACHINE LEARNING FRAMEWORK FOR CLICK-THROUGH RATE PREDICTION IN PROGRAMMATIC ADVERTISING

Click-through rate (CTR) prediction underpins bidding, ranking, and budget allocation in programmatic advertising, where predicted probabilities, not merely rankings, drive economic decisions. We present an interpretable machine learning framework for CTR prediction designed to avoid two failure modes that inflate repo...