In marketing, optimizing subsidy allocation to maximize overall profits is of substantial economic importance. Prior research has employed treatment effect estimation techniques to identify subsidy-sensitive items and design corresponding allocation strategies. However, more accurate treatment effect estimations do not...
Xiang Li, Yanghao Xiao, Chun-Yuan Zheng et al.· Annual International ACM SIG...· 2 citations
In response to the challenges posed by the extensive parameter updates required for full fine-tuning of large-scale pre-trained models, parameter-efficient fine-tuning (PEFT) methods, exemplified by Low-Rank Adaptation (LoRA), have emerged. LoRA simplifies the fine-tuning process but may still struggle with a certain l...
Junjie Wang, Guangjing Yang, Wentao Chen et al.· IEEE Transactions on Image P...· 2 citations
Post-click conversion rate (CVR) prediction is a central task in recommender systems, yet selection bias creates a severe distributional gap between the clicked training samples and the entire inference space. To address selection bias, propensity-based methods such as inverse propensity scoring (IPS) and doubly robust...
Yanghao Xiao, Hao Wang, Xiang Li et al.· Annual International ACM SIG...· 0 citations
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