ACQ: A Unified Framework for Automated Programmatic Creativity in Online Advertising

arXiv:2412.06167 · cs.AI · Submitted 2026-08-21 · Read on arXiv

Ruizhi Wang, Yu Rong, Kai Liu, Bingjie Li, Qingpeng Cai, Fei Pan, Peng Jiang

cs.AI

Submitted: 2026-08-21

Updated: 2026-08-24

Terminology

• AUC — 13× in this paper · explained in 2 episodes
• Loss Function — 12× in this paper · explained in 2 episodes
• Unified Framework — 8× in this paper · explained in 5 episodes
• Activation Function — 3× in this paper · explained in 1 episode
• Automated Creatives Quota — 3× in this paper
• Interpretability — 3× in this paper · explained in 15 episodes
• Two-Stage Framework — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• GNU Linear Programming Kit — 2× in this paper
• Mean Squared Error — 2× in this paper
• Personalization — 2× in this paper · explained in 2 episodes
• Predictive Modeling — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Area Under the Curve — 1× in this paper
• Area Under the Curve (AUC) — 1× in this paper · explained in 1 episode
• Decoupling — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Quantifying Uncertainty — 1× in this paper · explained in 5 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Unbalanced Binary Tree Model — 1× in this paper
• Zero-Inflated Log-Normal — 1× in this paper

Sources

• A Deep Probabilistic Model for Customer Lifetime Value Prediction

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