2:00 PM - 2:05 PM

Opening Remarks

AdKDD Organizers

2:05 PM - 2:15 PM

A Bag of Tricks for Scaling CPU-based Deep FFMs to more than 300m Predictions per Second

Blaž Škrlj, Benjamin Ben-Shalom, Grega Gašperšič, Adi Schwartz, Ramzi Hoseisi, Naama Ziporin, Davorin Kopič, Andraž Tori

2:15 PM - 2:25 PM

Trigger Relevancy and Diversity Inefficiency with Dual-Phase Synergistic Attention in Shopee Recommendation Ads System

Sheng Li, Zhiwei Chen

2:25 PM - 2:35 PM

Augmented Two-Stage Bandit Framework: Practical Approaches for Improved Online Ad Selection

Seowon Han, Ryan Lakritz, Hanxiao Wu

2:35 PM - 2:45 PM

Cost-Control in Display Advertising: Theory vs Practice

Anoop R Katti, Rui C. Gonçalves, Rinchin Iakovlev

2:45 PM - 2:55 PM

RankTower: A Synergistic Framework for Enhancing Two-Tower Pre-Ranking Model

Yachen Yan, Liubo Li

2:55 PM - 3:05 PM

Leveraging Instrumental Variables in Online Advertising Auctions : Robust Click-Through-Rate Prediction

Ryohei Emori, Shinya Suzumura, Nobuyuki Shimizu, Takahiro Hoshino

3:05 PM - 3:15 PM

SERP Interference Network and its Applications in Search Advertising

Purak Jain, Sandeep Appala

3:15 PM - 4:00 PM

Keynote

Romain Lerallut

4:00 PM - 4:30 PM

Coffee Break

4:30 PM - 5:15 PM

Keynote

Liangjie Hong

5:15 PM - 5:25 PM

AFA: Auto-tuning Filters for Ads

Joobin Gharibshah, Mahmuda Rahman, Abraham Bagherjeiran

5:25 PM - 5:35 PM

Training Differentially Private Ad Prediction Models With Semi-Sensitive Features

Lynn Chua, Qiliang Cui, Badih Ghazi, Charlie Harrison, Pritish Kamath, Walid Krichene, Ravi Kumar, Pasin Manurangsi, Nicolas Mayoraz, Hema Venkata Krishna Giri Narra, Steffen Rendle, Amer Sinha, Avinash Varadarajan, Chiyuan Zhang

5:35 PM - 5:45 PM

Multi-Task Combinatorial Bandits for Budget Allocation

Lin Ge, Yang Xu, Jianing Chu, David Cramer, Fuhong Li, Kelly Paulson, Rui Song

5:45 PM - 6:00 PM

Closing Remarks

AdKDD Organizers