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Designing and Deploying Online Field Experiments

Designing and Deploying Online Field Experiments

10 September 2014
E. Bakshy
Dean Eckles
Michael S. Bernstein
ArXiv (abs)PDFHTML

Papers citing "Designing and Deploying Online Field Experiments"

16 / 16 papers shown
Title
On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization
On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization
Undral Byambadalai
Tomu Hirata
Tatsushi Oka
Shota Yasui
34
0
0
06 Jun 2025
A Two-Part Machine Learning Approach to Characterizing Network
  Interference in A/B Testing
A Two-Part Machine Learning Approach to Characterizing Network Interference in A/B Testing
Yuan. Yuan
Kristen M. Altenburger
74
5
0
18 Aug 2023
Balancing Risk and Reward: An Automated Phased Release Strategy
Balancing Risk and Reward: An Automated Phased Release Strategy
Yufan Li
Jialiang Mao
Iavor Bojinov
46
0
0
16 May 2023
Assign Experiment Variants at Scale in Online Controlled Experiments
Assign Experiment Variants at Scale in Online Controlled Experiments
Qike Li
Samir Jamkhande
P. Kochetkov
Pai Liu
LRM
6
0
0
17 Dec 2022
Listen to Users, but Only 85% of the Time: How Black Swans Can Save
  Innovation in a Data-Driven World
Listen to Users, but Only 85% of the Time: How Black Swans Can Save Innovation in a Data-Driven World
Maximilian Speicher
30
0
0
10 Aug 2022
Tisane: Authoring Statistical Models via Formal Reasoning from
  Conceptual and Data Relationships
Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships
Eunice Jun
Audrey Seo
Jeffrey Heer
René Just
143
19
0
07 Jan 2022
Challenging common interpretability assumptions in feature attribution
  explanations
Challenging common interpretability assumptions in feature attribution explanations
Jonathan Dinu
Jeffrey P. Bigham
J. Z. K. Unaffiliated
78
14
0
04 Dec 2020
Inferring Individual Level Causal Models from Graph-based Relational
  Time Series
Inferring Individual Level Causal Models from Graph-based Relational Time Series
Ryan Rossi
Somdeb Sarkhel
Nesreen Ahmed
CML
23
0
0
16 Jan 2020
Tea: A High-level Language and Runtime System for Automating Statistical
  Analysis
Tea: A High-level Language and Runtime System for Automating Statistical Analysis
Eunice Jun
Maureen Daum
Jared Roesch
Sarah E. Chasins
E. Berger
René Just
Katharina Reinecke
73
36
0
10 Apr 2019
Bayesian Optimization for Policy Search via Online-Offline
  Experimentation
Bayesian Optimization for Policy Search via Online-Offline Experimentation
Benjamin Letham
E. Bakshy
OffRL
97
56
0
01 Apr 2019
A Survey of Learning Causality with Data: Problems and Methods
A Survey of Learning Causality with Data: Problems and Methods
Ruocheng Guo
Lu Cheng
Jundong Li
P. R. Hahn
Huan Liu
CML
88
168
0
25 Sep 2018
An Experimental Study of Cryptocurrency Market Dynamics
An Experimental Study of Cryptocurrency Market Dynamics
P. Krafft
N. D. Penna
Alex Pentland
48
65
0
17 Jan 2018
Democratizing online controlled experiments at Booking.com
Democratizing online controlled experiments at Booking.com
Raphael Lopez Kaufman
Jegar Pitchforth
Lukas Vermeer
51
38
0
23 Oct 2017
Learning causal effects from many randomized experiments using
  regularized instrumental variables
Learning causal effects from many randomized experiments using regularized instrumental variables
A. Peysakhovich
Dean Eckles
CML
118
23
0
04 Jan 2017
Combining observational and experimental data to find heterogeneous
  treatment effects
Combining observational and experimental data to find heterogeneous treatment effects
A. Peysakhovich
Akos Lada
CML
58
36
0
08 Nov 2016
MmmTurkey: A Crowdsourcing Framework for Deploying Tasks and Recording
  Worker Behavior on Amazon Mechanical Turk
MmmTurkey: A Crowdsourcing Framework for Deploying Tasks and Recording Worker Behavior on Amazon Mechanical Turk
B. Dang
Miles Hutson
Matt Lease
16
8
0
04 Sep 2016
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