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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.