2026
Gradient-Based Diversity Optimization with Differentiable Top-$k$ Objective
ICLR 2026poster
Predicting relevance is a pervasive problem across digital platforms, covering social media, entertainment, and commerce. However, when optimized solely for relevance and engagement, many machine-learning models amplify data biases and produce homogeneous outputs, reinforcing filter bubbles and cont…