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Comparison Lift: Bandit-based Experimentation System for Online
  Advertising

Comparison Lift: Bandit-based Experimentation System for Online Advertising

16 September 2020
Tong Geng
Xiliang Lin
Harikesh S. Nair
Jun Hao
Bin Xiang
Shurui Fan
ArXivPDFHTML

Papers citing "Comparison Lift: Bandit-based Experimentation System for Online Advertising"

5 / 5 papers shown
Title
Online Evaluation of Audiences for Targeted Advertising via Bandit
  Experiments
Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments
Tong Geng
Xiliang Lin
Harikesh S. Nair
119
10
0
04 Jul 2019
Estimating Treatment Effects using Multiple Surrogates: The Role of the
  Surrogate Score and the Surrogate Index
Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index
Susan Athey
Raj Chetty
Guido Imbens
Hyunseung Kang
CML
50
51
0
30 Mar 2016
Always Valid Inference: Bringing Sequential Analysis to A/B Testing
Always Valid Inference: Bringing Sequential Analysis to A/B Testing
Ramesh Johari
L. Pekelis
David Walsh
39
94
0
15 Dec 2015
Sequential Monte Carlo Bandits
Sequential Monte Carlo Bandits
Michael Cherkassky
L. Bornn
47
10
0
04 Oct 2013
Online Learning under Delayed Feedback
Online Learning under Delayed Feedback
Pooria Joulani
András Gyorgy
Csaba Szepesvári
84
279
0
04 Jun 2013
1