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StoBasket 提出联合随机篮筐编辑（joint stochastic basket editing）框架，将升级销售（upsell）与交叉销售（cross-sell）统一优化以最大化贡献毛利，并在五个公开购物篮数据集上的仿真中几乎捕获全部可实现利润。研究显示联合选择在 Instacart 上比独立选择提升 10.2% 的可实现边际，且精确求解器在毫秒级内完成优化。
Presents FunnelCausalNet, an uplift estimation method for multi-tier coupon allocation that couples conversion and revenue heads under a funnel composition to reduce variance, validated on semi-synthetic Criteo and industrial hotel-coupon RCT logs.
This paper introduces CAR-PL, an observational policy ranking method for recommending business changes to small and medium-sized businesses using multi-action accounting logs, comparing it against several baselines on financial KPI prediction.
UpliftBench is a benchmark paper showing that disagreements between uplift modeling evaluations often stem from metric choice rather than model quality, identifying specific mismatches between ranking metrics and deployment objectives across several dataset families.
This paper presents an integrated framework for personalizing free-value thresholds in a two-sided job marketplace, addressing competing objectives and constrained experiments. The deployed system shows significant lift in target metrics while respecting engagement guardrails.