Benchmarking for Deep Uplift Modeling in Online Marketing
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Dugang, Tang, Xing, Qiao, Yang, Liu, Miao, Sun, Zexu, He, Xiuqiang, Ming, Zhong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling
by: Sun, Zexu, et al.
Published: (2024)
by: Sun, Zexu, et al.
Published: (2024)
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing
by: He, Bowei, et al.
Published: (2024)
by: He, Bowei, et al.
Published: (2024)
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization
by: Sun, Zexu, et al.
Published: (2023)
by: Sun, Zexu, et al.
Published: (2023)
Robust Uplift Modeling with Large-Scale Contexts for Real-time Marketing
by: Sun, Zexu, et al.
Published: (2025)
by: Sun, Zexu, et al.
Published: (2025)
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction
by: Weng, Yunpeng, et al.
Published: (2024)
by: Weng, Yunpeng, et al.
Published: (2024)
A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation
by: Tang, Xing, et al.
Published: (2025)
by: Tang, Xing, et al.
Published: (2025)
Evaluating Uplift Modeling under Structural Biases: Insights into Metric Stability and Model Robustness
by: Yang, Yuxuan, et al.
Published: (2026)
by: Yang, Yuxuan, et al.
Published: (2026)
FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction
by: Zhang, Jun, et al.
Published: (2026)
by: Zhang, Jun, et al.
Published: (2026)
M$^3$TN: Multi-gate Mixture-of-Experts based Multi-valued Treatment Network for Uplift Modeling
by: Sun, Zexu, et al.
Published: (2024)
by: Sun, Zexu, et al.
Published: (2024)
BoRA: Towards More Expressive Low-Rank Adaptation with Block Diversity
by: Li, Shiwei, et al.
Published: (2025)
by: Li, Shiwei, et al.
Published: (2025)
Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation
by: Li, Shiwei, et al.
Published: (2025)
by: Li, Shiwei, et al.
Published: (2025)
Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation
by: Tang, Xing, et al.
Published: (2026)
by: Tang, Xing, et al.
Published: (2026)
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation
by: Tang, Xing, et al.
Published: (2024)
by: Tang, Xing, et al.
Published: (2024)
Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms
by: Weng, Yunpeng, et al.
Published: (2024)
by: Weng, Yunpeng, et al.
Published: (2024)
Masked Random Noise for Communication Efficient Federated Learning
by: Li, Shiwei, et al.
Published: (2024)
by: Li, Shiwei, et al.
Published: (2024)
A Comparative Study of Model Adaptation Strategies for Multi-Treatment Uplift Modeling
by: Zhang, Ruyue, et al.
Published: (2025)
by: Zhang, Ruyue, et al.
Published: (2025)
We Have It Covered: A Resampling-based Method for Uplift Model Comparison
by: Liu, Yang, et al.
Published: (2025)
by: Liu, Yang, et al.
Published: (2025)
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks
by: Cui, Ziqiang, et al.
Published: (2024)
by: Cui, Ziqiang, et al.
Published: (2024)
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling
by: Zhu, Dingyuan, et al.
Published: (2024)
by: Zhu, Dingyuan, et al.
Published: (2024)
Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing
by: Huang, Yinqiu, et al.
Published: (2024)
by: Huang, Yinqiu, et al.
Published: (2024)
Guardrailed Uplift Targeting: A Causal Optimization Playbook for Marketing Strategy
by: Sapru, Deepit
Published: (2025)
by: Sapru, Deepit
Published: (2025)
Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation
by: Lyu, Fuyuan, et al.
Published: (2025)
by: Lyu, Fuyuan, et al.
Published: (2025)
TSCAN: Context-Aware Uplift Modeling via Two-Stage Training for Online Merchant Business Diagnosis
by: Zhang, Hangtao, et al.
Published: (2025)
by: Zhang, Hangtao, et al.
Published: (2025)
Jointly Optimizing Debiased CTR and Uplift for Coupons Marketing: A Unified Causal Framework
by: Yang, Siyun, et al.
Published: (2026)
by: Yang, Siyun, et al.
Published: (2026)
Hadamard-Riemannian Optimization for Margin-Variance Ensemble
by: Jin, Zexu
Published: (2025)
by: Jin, Zexu
Published: (2025)
UTBoost: Gradient Boosted Decision Trees for Uplift Modeling
by: Gao, Junjie, et al.
Published: (2023)
by: Gao, Junjie, et al.
Published: (2023)
Enhancing Uplift Modeling in Multi-Treatment Marketing Campaigns: Leveraging Score Ranking and Calibration Techniques
by: Park, Yoon Tae, et al.
Published: (2024)
by: Park, Yoon Tae, et al.
Published: (2024)
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
by: Zhang, Kexin, et al.
Published: (2024)
by: Zhang, Kexin, et al.
Published: (2024)
Uplift Modeling Under Limited Supervision
by: Panagopoulos, George, et al.
Published: (2024)
by: Panagopoulos, George, et al.
Published: (2024)
Offline Imitation Learning with Variational Counterfactual Reasoning
by: He, Bowei, et al.
Published: (2023)
by: He, Bowei, et al.
Published: (2023)
Hessian-Free Online Certified Unlearning
by: Qiao, Xinbao, et al.
Published: (2024)
by: Qiao, Xinbao, et al.
Published: (2024)
Optimizing Feature Set for Click-Through Rate Prediction
by: Lyu, Fuyuan, et al.
Published: (2023)
by: Lyu, Fuyuan, et al.
Published: (2023)
A New Transformation Approach for Uplift Modeling with Binary Outcome
by: Li, Kun, et al.
Published: (2023)
by: Li, Kun, et al.
Published: (2023)
Hierarchical Contextual Uplift Bandits for Catalog Personalization
by: Agrawal, Anupam, et al.
Published: (2026)
by: Agrawal, Anupam, et al.
Published: (2026)
Large Language Models for Multilingual Code Intelligence: A Survey
by: Jiang, Chao, et al.
Published: (2026)
by: Jiang, Chao, et al.
Published: (2026)
Multi-Treatment Multi-Task Uplift Modeling for Enhancing User Growth
by: Wei, Yuxiang, et al.
Published: (2024)
by: Wei, Yuxiang, et al.
Published: (2024)
Direct Profit Estimation Using Uplift Modeling under Clustered Network Interference
by: Akker, Bram van den
Published: (2025)
by: Akker, Bram van den
Published: (2025)
FairUDT: Fairness-aware Uplift Decision Trees
by: Zahid, Anam, et al.
Published: (2025)
by: Zahid, Anam, et al.
Published: (2025)
A Large-Scale Empirical Comparison of Meta-Learners and Causal Forests for Heterogeneous Treatment Effect Estimation in Marketing Uplift Modeling
by: Singh, Aman
Published: (2026)
by: Singh, Aman
Published: (2026)
Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics
by: Li, Shiwei, et al.
Published: (2025)
by: Li, Shiwei, et al.
Published: (2025)
Similar Items
-
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling
by: Sun, Zexu, et al.
Published: (2024) -
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing
by: He, Bowei, et al.
Published: (2024) -
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization
by: Sun, Zexu, et al.
Published: (2023) -
Robust Uplift Modeling with Large-Scale Contexts for Real-time Marketing
by: Sun, Zexu, et al.
Published: (2025) -
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction
by: Weng, Yunpeng, et al.
Published: (2024)