3 papers
cs.LG2025
HALO: Hindsight-Augmented Learning for Online Auto-Bidding
Pusen Dong, Chenglong Cao, Xinyu Zhou +4
Digital advertising platforms operate millisecond-level auctions through Real-Time Bidding (RTB) systems, where advertisers compete for ad impressions through algorithmic bids. Thi…
cs.IR2024
A New Creative Generation Pipeline for Click-Through Rate with Stable Diffusion Model
Hao Yang, Jianxin Yuan, Shuai Yang +3
In online advertising scenario, sellers often create multiple creatives to provide comprehensive demonstrations, making it essential to present the most appealing design to maximiz…
cs.LG2024
Deep Ensemble Shape Calibration: Multi-Field Post-hoc Calibration in Online Advertising
Shuai Yang, Hao Yang, Zhuang Zou +3
In the e-commerce advertising scenario, estimating the true probabilities (known as a calibrated estimate) on Click-Through Rate (CTR) and Conversion Rate (CVR) is critical. Previo…