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Online Evaluation of Audiences for Targeted Advertising via Bandit
  Experiments
v1v2v3 (latest)

Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments

AAAI Conference on Artificial Intelligence (AAAI), 2019
4 July 2019
Tong Geng
Xiliang Lin
Harikesh S. Nair
ArXiv (abs)PDFHTML

Papers citing "Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments"

6 / 6 papers shown
Evaluating Online Bandit Exploration In Large-Scale Recommender System
Evaluating Online Bandit Exploration In Large-Scale Recommender System
Hongbo Guo
Ruben Naeff
Alex Nikulkov
Zheqing Zhu
OffRL
267
11
0
05 Apr 2023
Advertising Media and Target Audience Optimization via High-dimensional
  Bandits
Advertising Media and Target Audience Optimization via High-dimensional Bandits
Wenjia Ba
J. Harrison
Harikesh S. Nair
188
0
0
17 Sep 2022
Adaptive Experimentation with Delayed Binary Feedback
Adaptive Experimentation with Delayed Binary FeedbackThe Web Conference (WWW), 2022
Zenan Wang
Carlos Carrion
Xiliang Lin
Fuhua Ji
Yongjun Bao
Weipeng P. Yan
OffRL
150
8
0
02 Feb 2022
Adapting Bandit Algorithms for Settings with Sequentially Available Arms
Adapting Bandit Algorithms for Settings with Sequentially Available Arms
M. Gabrielli
F. Trovò
M. Antonelli
200
3
0
30 Sep 2021
Comparison Lift: Bandit-based Experimentation System for Online
  Advertising
Comparison Lift: Bandit-based Experimentation System for Online AdvertisingAAAI Conference on Artificial Intelligence (AAAI), 2020
Tong Geng
Xiliang Lin
Harikesh S. Nair
Jun Hao
Bin Xiang
Shurui Fan
106
15
0
16 Sep 2020
Online Causal Inference for Advertising in Real-Time Bidding Auctions
Online Causal Inference for Advertising in Real-Time Bidding AuctionsMarketing science (Providence, R.I.) (MSPRI), 2019
Caio Waisman
Harikesh S. Nair
Carlos Carrion
CML
352
11
0
22 Aug 2019
1
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