89 citations · 211 across the 10 of their papers we have counts for
4 papers · 1 filter
Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions
Yanjun Han, Zhengyuan Zhou, Aaron Flores +2
First-price auctions have very recently swept the online advertising industry, replacing second-price auctions as the predominant auction mechanism on many platforms. This shift ha…
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving
Wei Deng, Junwei Pan, Tian Zhou +3
Click-through rate (CTR) prediction is a crucial task in online display advertising. The embedding-based neural networks have been proposed to learn both explicit feature interacti…
Time-Aware Prospective Modeling of Users for Online Display Advertising
Djordje Gligorijevic, Jelena Gligorijevic, Aaron Flores
Prospective display advertising poses a great challenge for large advertising platforms as the strongest predictive signals of users are not eligible to be used in the conversion p…
Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising
Junwei Pan, Yizhi Mao, Alfonso Lobos Ruiz +2
Conversion prediction plays an important role in online advertising since Cost-Per-Action (CPA) has become one of the primary campaign performance objectives in the industry. Unlik…