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Attribution Modeling Increases Efficiency of Bidding in Display Advertising

20 July 2017

Papers citing "Attribution Modeling Increases Efficiency of Bidding in Display Advertising"

22 / 22 papers shown

Title
Auto-bidding in real-time auctions via Oracle Imitation Learning (OIL) Alberto Silvio Chiappa Briti Gangopadhyay Zhao Wang Shingo Takamatsu 151 1 0 16 Dec 2024
A pragmatic policy learning approach to account for users' fatigue in repeated auctions Benjamin Heymann Rémi Chan--Renous-Legoubin Alexandre Gilotte OffRL 28 0 0 15 Jul 2024
Fine-grained Attention in Hierarchical Transformers for Tabular Time-series Raphaël Azorin Zied Ben-Houidi Massimo Gallo A. Finamore Pietro Michiardi AI4TS LMTD 112 0 0 21 Jun 2024
SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization T. Yasuda Kyriakos Axiotis Gang Fu M. Bateni Vahab Mirrokni 214 0 0 27 Feb 2024
Training Differentially Private Ad Prediction Models with Semi-Sensitive Features Lynn Chua Qiliang Cui Badih Ghazi Charlie Harrison Pritish Kamath ... Pasin Manurangsi Krishnagiri Narra Amer Sinha A. Varadarajan Chiyuan Zhang AAML 90 5 0 26 Jan 2024
DCRMTA: Unbiased Causal Representation for Multi-touch Attribution Jiaming Tang CML 123 0 0 16 Jan 2024
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning Haoteng Yin Muhan Zhang Jianguo Wang Pan Li 178 9 0 06 Mar 2023
Sequential Attention for Feature Selection T. Yasuda M. Bateni Lin Chen Matthew Fahrbach Gang Fu Vahab Mirrokni 107 11 0 29 Sep 2022
Bayesian Optimization under Stochastic Delayed Feedback Arun Verma Zhongxiang Dai Bryan Kian Hsiang Low 80 12 0 19 Jun 2022
CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution Di Yao Chang Gong Lei Zhang Sheng Chen Jingping Bi CML 42 11 0 21 Dec 2021
A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling Eustache Diemert Artem Betlei Christophe Renaudin Massih-Reza Amini T. Gregoir Thibaud Rahier CML 71 10 0 19 Nov 2021
Joint Online Learning and Decision-making via Dual Mirror Descent Alfonso Lobos Paul Grigas Zheng Wen 45 11 0 20 Apr 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 168 1,001 0 03 Feb 2021
CAMTA: Causal Attention Model for Multi-touch Attribution Sachin Kumar Garima Gupta Ranjitha Prasad Arnab Chatterjee Lovekesh Vig Gautam M. Shroff CML HAI 45 10 0 21 Dec 2020
Hi-CI: Deep Causal Inference in High Dimensions Ankit Sharma Garima Gupta Ranjitha Prasad Arnab Chatterjee Lovekesh Vig Gautam M. Shroff BDL CML 64 4 0 22 Aug 2020
Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits Aditya A. Ramesh Paulo E. Rauber Michelangelo Conserva Jürgen Schmidhuber 43 0 0 09 Jul 2020
Randomized Exploration for Non-Stationary Stochastic Linear Bandits Baekjin Kim Ambuj Tewari 93 17 0 11 Dec 2019
Real-time Bidding campaigns optimization using attribute selection Luis Miralles M. A. Qureshi Brian Mac Namee 21 1 0 29 Oct 2019
Weighted Linear Bandits for Non-Stationary Environments Yoan Russac Claire Vernade Olivier Cappé 161 108 0 19 Sep 2019
Deep Landscape Forecasting for Real-time Bidding Advertising Kan Ren Jiarui Qin Lei Zheng Zhengyu Yang Weinan Zhang Yong Yu OOD 81 38 0 07 May 2019
Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising Kan Ren Yuchen Fang Weinan Zhang Shuhao Liu Jiajun Li Ya Zhang Yong Yu Jun Wang HAI 71 35 0 11 Aug 2018
Linear Bandits with Stochastic Delayed Feedback Claire Vernade Alexandra Carpentier Tor Lattimore Giovanni Zappella Beyza Ermis M. Brueckner 82 67 0 05 Jul 2018