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Attribution Modeling Increases Efficiency of Bidding in Display
  Advertising
v1v2 (latest)

Attribution Modeling Increases Efficiency of Bidding in Display Advertising

20 July 2017
Eustache Diemert
Julien Meynet
Pierre Galland
Damien Lefortier
ArXiv (abs)PDFHTML

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)
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
A pragmatic policy learning approach to account for users' fatigue in repeated auctions
Benjamin Heymann
Rémi Chan--Renous-Legoubin
Alexandre Gilotte
OffRL
26
0
0
15 Jul 2024
Fine-grained Attention in Hierarchical Transformers for Tabular
  Time-series
Fine-grained Attention in Hierarchical Transformers for Tabular Time-series
Raphaël Azorin
Zied Ben-Houidi
Massimo Gallo
A. Finamore
Pietro Michiardi
AI4TSLMTD
112
0
0
21 Jun 2024
SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization
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
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
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
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
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
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
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
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
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
Federated Learning on Non-IID Data Silos: An Experimental Study
Yue Liu
Yiqun Diao
Quan Chen
Bingsheng He
FedMLOOD
168
1,001
0
03 Feb 2021
CAMTA: Causal Attention Model for Multi-touch Attribution
CAMTA: Causal Attention Model for Multi-touch Attribution
Sachin Kumar
Garima Gupta
Ranjitha Prasad
Arnab Chatterjee
Lovekesh Vig
Gautam M. Shroff
CMLHAI
45
10
0
21 Dec 2020
Hi-CI: Deep Causal Inference in High Dimensions
Hi-CI: Deep Causal Inference in High Dimensions
Ankit Sharma
Garima Gupta
Ranjitha Prasad
Arnab Chatterjee
Lovekesh Vig
Gautam M. Shroff
BDLCML
64
4
0
22 Aug 2020
Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual
  Bandits
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
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
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
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
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
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
Linear Bandits with Stochastic Delayed Feedback
Claire Vernade
Alexandra Carpentier
Tor Lattimore
Giovanni Zappella
Beyza Ermis
M. Brueckner
80
67
0
05 Jul 2018
1