2026

Causal Ad Incrementality without Experiments: Addressable- Audience CEM+DML at Billion-Impression Scale

Jaeyeong Kim, Alexander Rasmussen, Jake Reschke and Abdullah Spall

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2026

Cascaded Bid Floors for Heavy-Tailed Mobile Ad Auctions: A Deployed Production System

Rowan Swiers, Yash Jain, Ajinkya Jawale and Andrew Maher.

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2026

Nested CTR-PTR Modeling for Sparse Purchase Prediction in Sponsored Search

Greg Kocher

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2026

Less Traffic, Better Outcomes: Competition-Aware Request Dispatch in Real-Time Ad Exchanges

Jonaid Shianifar, Blaz Mramor, Fangda Zou, Matthieu C. Martin, Xingsheng Guo and Bichen Shi

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2026

Dynamic Bidding for Sponsored Products: Value-Based Bid Scaling with Per-SKU Normalization

Wanchen Shao, Aditya Gadam, Dongyue Xie, Kurt Zimmer, Matt Lindsay, Sergey Kolbin, Jinjin Zhao and Jean-David Ruvini

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2026

Constrained Target-ROAS Bidding for Sponsored Products via Value-Based Bids and Feedback Control

Wanchen Shao, Sergey Kolbin, Kurt Zimmer, Jinjin Zhao and Jean-David Ruvini

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2026

A Lightweight MPC Bidding Framework for Brand Auction Ads

Yuanlong Chen, Bowen Zhu, Bing Xia and Yichuan Wang

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2026

WaySeq: Production Lessons from User Sequence Modeling for Sponsored Product Click and Conversion Prediction

Dongyue Xie, Sergey Kolbin, Manavender Malgireddy, Iurii Shcherbak, Weixing Tang, Arushi Jain, Wanchen Shao, Kurt Zimmer, Raja Hafiz Affandi and Matt Lindsay.

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2026

SHOPPER: Semantic, Historical, Order-aware, and Product-conditioned Pooling for E-commerce Recommendation

Amit Jaspal, Ashkan Sadeghi, Nicolas Bievre, Kevin Huang, Behnaz Poursartip and Nikko Mizutani.

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2026

Ad Asset Portfolio Optimization via Policy Learning

Koichi Tanaka, Zhi Wang, Masahiro Asami, Kota Ishizuka, Kosuke Kawakami and Yuta Saito.

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2026

Estimating Heterogeneous Treatment Effects in Online Advertising Experiments: A Hierarchical Bayesian Approach

Aljosa Vodopija, Anze Alic, Tim Postuvan, Martin Jakomin and Blaz Skrlj

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2026

Knowledge-informed Bidding with Dual-process Control for Online Advertising

Huixiang Luo, Longyu Gao, Yaqi Liu, Qianqian Chen, Pingchun Huang and Tianning Li

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2026

RoLGaL: Robust Continual Training for CVR Prediction via Label Diffusion and Guardrails

Xiaoli Gao, Qiuping Xu, Amir Roshankar and Rong Jin

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2026

Attributed, But Not Incremental: Cannibalization-Corrected Attribution for Large-Scale Advertising

Donghui Li, Bowen Yuan, Zili Yang, Qinxin Chen and Lijing Song

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2026

CADET: Context-Conditioned Ads CTR Prediction With a Decoder-Only Transformer

David Pardoe, Neil Daftary, Miro Furtado, Aditya Aiyer, Yu Wang, Liuqing Li, Tao Song, Lars Hertel, Young Jin Yun, Senthil Radhakrishnan, Zhiwei Wang, Tommy Li, Khai Tran, Ananth Nagarajan, Ali Naqvi, Yue Zhang, Renpeng Fang, Avi Romascanu, Arjun Kulothungun, Deepak Kumar, Praneeth Boda, Fedor Borisyuk and Ruoyan Wang.

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