Media Summary: Sean Gahagan, Meta This video shares how the Zilong Wang, University of California, San Diego - Presentation video (short version) for Chuanren Liu, The University of Tennessee The integration of predictive and optimization models has received increasing ...

Kdd 2023 Variance Reduction System - Detailed Analysis & Overview

Sean Gahagan, Meta This video shares how the Zilong Wang, University of California, San Diego - Presentation video (short version) for Chuanren Liu, The University of Tennessee The integration of predictive and optimization models has received increasing ... Jianling Wang, Google Fresh uploads, especially those from less popular content providers, face a significant barrier to be picked ... Todd Phillips, Google Test of Time Award for Applied Data Science. Liyao Jiang, University of Alberta Online ads are important in e-commerce sites, social media platforms, and search engines.

Yunjia Xi, Shanghai Jiao Tong University.

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KDD 2023 - Variance Reduction System (VRS)
KDD 2023 - VRDU: A Benchmark for Visually-rich Document Understanding
KDD 2023 - Domain-Specific Risk Minimization for Domain Generalization
KDD 2023 - End-to-End Inventory Prediction and Contract Allocation
KDD 2023 - Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation
KDD 2023 - Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning
KDD 2023 - Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering
KDD 2023 - A Framework for Learning Item-Features to Make a Domain
KDD 2023 - Learning for Counterfactual Fairness from Observational Data
KDD 2023 - Ad Click Prediction: A View From the Trenches
KDD 2023 - AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness
KDD 2023 - On-device Integrated Re-ranking with Heterogeneous Behavior Modeling
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KDD 2023 - Variance Reduction System (VRS)

KDD 2023 - Variance Reduction System (VRS)

Sean Gahagan, Meta This video shares how the

KDD 2023 - VRDU: A Benchmark for Visually-rich Document Understanding

KDD 2023 - VRDU: A Benchmark for Visually-rich Document Understanding

Zilong Wang, University of California, San Diego - Presentation video (short version) for

KDD 2023 - Domain-Specific Risk Minimization for Domain Generalization

KDD 2023 - Domain-Specific Risk Minimization for Domain Generalization

Yi-fan Zhang, Institute of Automation.

KDD 2023 - End-to-End Inventory Prediction and Contract Allocation

KDD 2023 - End-to-End Inventory Prediction and Contract Allocation

Chuanren Liu, The University of Tennessee The integration of predictive and optimization models has received increasing ...

KDD 2023 - Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation

KDD 2023 - Fresh Content Needs More Attention: Multi-funnel Fresh Content Recommendation

Jianling Wang, Google Fresh uploads, especially those from less popular content providers, face a significant barrier to be picked ...

KDD 2023 - Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning

KDD 2023 - Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning

Qianyue Hao, Tsinghua University.

KDD 2023 - Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering

KDD 2023 - Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering

Yan Wen, Tsinghua University.

KDD 2023 - A Framework for Learning Item-Features to Make a Domain

KDD 2023 - A Framework for Learning Item-Features to Make a Domain

Taeho Kim, Hanyang University.

KDD 2023 - Learning for Counterfactual Fairness from Observational Data

KDD 2023 - Learning for Counterfactual Fairness from Observational Data

Jing Ma, University of Virginia.

KDD 2023 - Ad Click Prediction: A View From the Trenches

KDD 2023 - Ad Click Prediction: A View From the Trenches

Todd Phillips, Google Test of Time Award for Applied Data Science.

KDD 2023 - AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness

KDD 2023 - AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness

Liyao Jiang, University of Alberta Online ads are important in e-commerce sites, social media platforms, and search engines.

KDD 2023 - On-device Integrated Re-ranking with Heterogeneous Behavior Modeling

KDD 2023 - On-device Integrated Re-ranking with Heterogeneous Behavior Modeling

Yunjia Xi, Shanghai Jiao Tong University.

KDD 2023 - Exploiting Intent Evolution in E-commercial Query Recommendation

KDD 2023 - Exploiting Intent Evolution in E-commercial Query Recommendation

Yu Wang, University of Illinois Chicago.