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ESCM$^2$: Entire Space Counterfactual Multi-Task Model for Post-Click
  Conversion Rate Estimation

ESCM2^22: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation

3 April 2022
Hao Wang
Tai-Wei Chang
Tianqiao Liu
Jia-Bin Huang
Zhichao Chen
Chao-hui Yu
Ruopeng Li
Wei Chu
ArXivPDFHTML

Papers citing "ESCM$^2$: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation"

32 / 32 papers shown
Title
Joint Modeling in Recommendations: A Survey
Joint Modeling in Recommendations: A Survey
Xiangyu Zhao
Yichao Wang
Bo Chen
Jingtong Gao
Yuhao Wang
Xiaopeng Li
Pengyue Jia
Q. Liu
Huifeng Guo
Ruiming Tang
26
0
0
28 Feb 2025
Residual Multi-Task Learner for Applied Ranking
Residual Multi-Task Learner for Applied Ranking
Cong Fu
Kun Wang
Jiahua Wu
Yizhou Chen
Guangda Huzhang
Yabo Ni
Anxiang Zeng
Zhiming Zhou
23
0
0
30 Oct 2024
Ranking Policy Learning via Marketplace Expected Value Estimation From
  Observational Data
Ranking Policy Learning via Marketplace Expected Value Estimation From Observational Data
Ehsan Ebrahimzadeh
Nikhil Monga
Hang Gao
Alex Cozzi
Abraham Bagherjeiran
CML
OffRL
13
0
0
06 Oct 2024
EXIT: An EXplicit Interest Transfer Framework for Cross-Domain
  Recommendation
EXIT: An EXplicit Interest Transfer Framework for Cross-Domain Recommendation
Lei Huang
Weitao Li
Chenrui Zhang
Jinpeng Wang
Xianchun Yi
Sheng Chen
30
0
0
29 Jul 2024
Proximity Matters: Local Proximity Preserved Balancing for Treatment
  Effect Estimation
Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation
Hao Wang
Zhichao Chen
Yuan Shen
Jiajun Fan
Zhaoran Liu
Degui Yang
Xinggao Liu
Haoxuan Li
30
0
0
01 Jul 2024
Debiased Recommendation with Noisy Feedback
Debiased Recommendation with Noisy Feedback
Haoxuan Li
Chunyuan Zheng
Wenjie Wang
Hao Wang
Fuli Feng
Xiao-Hua Zhou
33
7
0
24 Jun 2024
Rethinking the Diffusion Models for Numerical Tabular Data Imputation
  from the Perspective of Wasserstein Gradient Flow
Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow
Zhichao Chen
Haoxuan Li
Fangyikang Wang
Odin Zhang
Hu Xu
Xiaoyu Jiang
Zhihuan Song
Eric H. Wang
DiffM
37
1
0
22 Jun 2024
ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in
  Advertising
ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising
Ruize Wang
Hui Xu
Ying Cheng
Qi He
Xing Zhou
Rui Feng
Wei Xu
Lei Huang
Jie Jiang
35
0
0
15 Jun 2024
Be Aware of the Neighborhood Effect: Modeling Selection Bias under
  Interference
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
Haoxuan Li
Chunyuan Zheng
Sihao Ding
Peng Wu
Zhi Geng
Fuli Feng
Xiangnan He
CML
23
9
0
30 Apr 2024
Debiased Collaborative Filtering with Kernel-Based Causal Balancing
Debiased Collaborative Filtering with Kernel-Based Causal Balancing
Haoxuan Li
Chunyuan Zheng
Yanghao Xiao
Peng Wu
Zhi Geng
Xu Chen
Peng Cui
CML
25
17
0
30 Apr 2024
MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display
  Advertising
MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising
Zhen Gong
Lvyin Niu
Yang Zhao
Miao Xu
Zhenzhe Zheng
...
Fan Wu
Rongquan Bai
Chuan Yu
Jian Xu
Bo Zheng
18
2
0
05 Mar 2024
Doubly Calibrated Estimator for Recommendation on Data Missing Not At
  Random
Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random
Wonbin Kweon
Hwanjo Yu
34
13
0
26 Feb 2024
FreDF: Learning to Forecast in the Frequency Domain
FreDF: Learning to Forecast in the Frequency Domain
Hao Wang
Licheng Pan
Zhichao Chen
Degui Yang
Sen Zhang
Yifei Yang
Xinggao Liu
Haoxuan Li
Dacheng Tao
AI4TS
57
12
0
04 Feb 2024
Optimal Transport for Treatment Effect Estimation
Optimal Transport for Treatment Effect Estimation
Hao Wang
Zhichao Chen
Jiajun Fan
Haoxuan Li
Tianqiao Liu
Weiming Liu
Quanyu Dai
Yichao Wang
Zhenhua Dong
Ruiming Tang
OT
CML
22
35
0
27 Oct 2023
STEM: Unleashing the Power of Embeddings for Multi-task Recommendation
STEM: Unleashing the Power of Embeddings for Multi-task Recommendation
Liangcai Su
Junwei Pan
Ximei Wang
Xi Xiao
Shijie Quan
Xihua Chen
Jie Jiang
13
15
0
16 Aug 2023
Impression-Aware Recommender Systems
Impression-Aware Recommender Systems
F. B. P. Maurera
Maurizio Ferrari Dacrema
P. Castells
Paolo Cremonesi
AI4TS
27
2
0
15 Aug 2023
Pareto Invariant Representation Learning for Multimedia Recommendation
Pareto Invariant Representation Learning for Multimedia Recommendation
Shanshan Huang
Haoxuan Li
Qingsong Li
Chunyuan Zheng
Li Liu
CML
8
11
0
09 Aug 2023
ConvFormer: Revisiting Transformer for Sequential User Modeling
ConvFormer: Revisiting Transformer for Sequential User Modeling
Hao Wang
Jianxun Lian
M. Wu
Haoxuan Li
Jiajun Fan
Wanyue Xu
Chaozhuo Li
Xing Xie
17
3
0
05 Aug 2023
DEPHN: Different Expression Parallel Heterogeneous Network using virtual
  gradient optimization for Multi-task Learning
DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning
Menglin Kong
Ri-Qi Su
Shaojie Zhao
Muzhou Hou
MoE
18
0
0
24 Jul 2023
ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via
  Parameter Constraint
ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint
Zhenhao Jiang
Biao Zeng
Hao Feng
Jin Liu
Jicong Fan
Jie Zhang
Jia Jia
Ning Hu
Xingyu Chen
Xuguang Lan
14
3
0
18 Jul 2023
Optimizing Airbnb Search Journey with Multi-task Learning
Optimizing Airbnb Search Journey with Multi-task Learning
Chun How Tan
Austin Chan
Malay Haldar
Jie Tang
Xin Liu
Mustafa Abdool
Huiji Gao
Li He
Sanjeev Katariya
23
5
0
28 May 2023
Modeling Task Relationships in Multi-variate Soft Sensor with Balanced
  Mixture-of-Experts
Modeling Task Relationships in Multi-variate Soft Sensor with Balanced Mixture-of-Experts
Yuxin Huang
Hao Wang
Zhaoran Liu
Licheng Pan
Haozhe Li
Xinggao Liu
MoE
25
17
0
25 May 2023
Learnable Behavior Control: Breaking Atari Human World Records via
  Sample-Efficient Behavior Selection
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection
Jiajun Fan
Yuzheng Zhuang
Yuecheng Liu
Jianye Hao
Bin Wang
Jiangcheng Zhu
Hao Wang
Shutao Xia
16
17
0
09 May 2023
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased
  Recommendations
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations
Haoxuan Li
Yanghao Xiao
Chunyuan Zheng
Peng Wu
CML
10
47
0
17 Apr 2023
Deep Stable Multi-Interest Learning for Out-of-distribution Sequential
  Recommendation
Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation
Qiang Liu
Zhaocheng Liu
Zhen Zhu
Shu Wu
Liang Wang
OOD
OODD
24
3
0
12 Apr 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
Wenbo Hu
Xin Sun
Qiang liu
Wenbo Hu
Shu Wu
36
0
0
23 Mar 2023
TMoE-P: Towards the Pareto Optimum for Multivariate Soft Sensors
TMoE-P: Towards the Pareto Optimum for Multivariate Soft Sensors
Licheng Pan
Hao Wang
Zhichao Chen
Yuxin Huang
Xinggao Liu
8
0
0
21 Feb 2023
AttentionMixer: An Accurate and Interpretable Framework for Process
  Monitoring
AttentionMixer: An Accurate and Interpretable Framework for Process Monitoring
Hao Wang
Zhiyu Wang
Yunlong Niu
Zhaoran Liu
Haozhe Li
Yilin Liao
Yuxin Huang
Xinggao Liu
16
0
0
21 Feb 2023
Adaptive Pattern Extraction Multi-Task Learning for Multi-Step
  Conversion Estimations
Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations
Xuewen Tao
Mingming Ha
Xiaobo Guo
Qiongxu Ma
Ho Kei Cheng
Wenfang Lin
11
0
0
06 Jan 2023
Entire Space Counterfactual Learning: Tuning, Analytical Properties and
  Industrial Applications
Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications
Hao Wang
Zhichao Chen
Jiajun Fan
Yuxin Huang
Weiming Liu
Xinggao Liu
CML
26
3
0
20 Oct 2022
A Survey of Deep Causal Models and Their Industrial Applications
A Survey of Deep Causal Models and Their Industrial Applications
Zongyu Li
Xiaoning Guo
Siwei Qiang
CML
AI4CE
24
7
0
19 Sep 2022
A Review for Deep Reinforcement Learning in Atari:Benchmarks,
  Challenges, and Solutions
A Review for Deep Reinforcement Learning in Atari:Benchmarks, Challenges, and Solutions
Jiajun Fan
OffRL
11
18
0
08 Dec 2021
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