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Customer Acquisition via Display Advertising Using Multi-Armed Bandit Experiments
16 references·2 citing·31 second hop
Customer Acquisition via Display Advertising Using Multi-Armed Bandit Experiments (2013)Customer Acquisition via Display Advertis…Learning to Optimize via Posterior Sampling (2014)Learning to Optimize via Post…When Does Retargeting Work? Information Specificity in Online Advertising (2013)When Does Retargeting Work? I…Thompson Sampling: An Asymptotically Optimal Finite-Time Analysis (2012)Thompson Sampling: An Asympto…Online Display Advertising: Targeting and Obtrusiveness (2011)Online Display Advertising: T…Multi‐Armed Bandit Allocation Indices (2011)Multi‐Armed Bandit Allocation…Analysis of Thompson Sampling for the multi-armed bandit problem (2011)Analysis of Thompson Sampling…An Empirical Evaluation of Thompson Sampling (2011)An Empirical Evaluation of Th…Linearly Parameterized Bandits (2010)Linearly Parameterized BanditsA modern Bayesian look at the multi‐armed bandit (2010)A modern Bayesian look at the…The Knowledge-Gradient Policy for Correlated Normal Beliefs (2009)The Knowledge-Gradient Policy…The Effect of Banner Advertising on Internet Purchasing (2006)The Effect of Banner Advertis…Using confidence bounds for exploitation-exploration trade-offs (2003)Using confidence bounds for e…New Two-Stage and Sequential Procedures for Selecting the Best Simulated System (2001)New Two-Stage and Sequential …Multi-Armed Bandits and the Gittins Index (1980)Multi-Armed Bandits and the G…Bandit Processes and Dynamic Allocation Indices (1979)Bandit Processes and Dynamic …Some aspects of the sequential design of experiments (1952)Some aspects of the sequentia…Probabilistic Machine Learning: New Frontiers for Modeling Consumers and their Choices (2024)Probabilistic Machine Learnin…How Does Competition Affect Exploration vs. Exploitation? A Tale of Two Recommendation Algorithms (2023)How Does Competition Affect E…Multi-Armed Bandit Allocation Indices. (1990)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Thompson Sampling for Contextual Bandits with Linear Payoffs (2012)Introduction to Multi-Armed Bandits (2019)A Stochastic Approximation Method (1951)The Nonstochastic Multiarmed Bandit Problem (2002)Practical Issues in Structural Modeling (1987)Marketing Research: An Applied Orientation (1994)Estimating Production Functions Using Inputs to Control for Unobservables (2003)Attributing Conversions in a Multichannel Online Marketing Environment: An Empirical Model and a Field Experiment (2013)The Importance of Trust for Personalized Online Advertising (2015)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)A Tutorial on Thompson Sampling (2018)A unified framework for stochastic optimization (2018)Online Decision Making with High-Dimensional Covariates (2019)Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement (1983)Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations (1996)Social Influence: Compliance and Conformity (2004)Personalized Online Advertising Effectiveness: The Interplay of What, When, and Where (2015)Airbnb: Online targeted advertising, sense of power, and consumer decisions (2016)Theory building with big data-driven research – Moving away from the “What” towards the “Why” (2020)Applied Statistical Decision Theory (1962)Applied Statistical Decision Theory. (1962)Restless bandits: activity allocation in a changing world (1988)Legislative leviathan: party government in the House (1993)Extensions of the multiarmed bandit problem: The discounted case (1985)The Multi-Armed Bandit Problem: Decomposition and Computation (1987)KULLBACK-LEIBLER UPPER CONFIDENCE BOUNDS FOR OPTIMAL SEQUENTIAL ALLOCATION (2013)Improved Algorithms for Linear Stochastic Bandits (2011)Bandit Algorithms (2020)
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References

  • 1952Some aspects of the sequential design of experiments2,183 cited
  • 1979Bandit Processes and Dynamic Allocation Indices1,488 cited
  • 2003Using confidence bounds for exploitation-exploration trade-offs1,189 cited
  • 2011An Empirical Evaluation of Thompson Sampling1,000 cited
  • 2011Analysis of Thompson Sampling for the multi-armed bandit problem904 cited
  • 2011Online Display Advertising: Targeting and Obtrusiveness817 cited
  • 2011Multi‐Armed Bandit Allocation Indices685 cited
  • 1980Multi-Armed Bandits and the Gittins Index515 cited
  • 2013When Does Retargeting Work? Information Specificity in Online Advertising510 cited
  • 2014Learning to Optimize via Posterior Sampling494 cited
  • 2006The Effect of Banner Advertising on Internet Purchasing456 cited
  • 2010Linearly Parameterized Bandits428 cited
  • 2009The Knowledge-Gradient Policy for Correlated Normal Beliefs408 cited
  • 2010A modern Bayesian look at the multi‐armed bandit408 cited
  • 2012Thompson Sampling: An Asymptotically Optimal Finite-Time Analysis381 cited
  • 2001New Two-Stage and Sequential Procedures for Selecting the Best Simulated System

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330 cited

Cited by

  • 2023How Does Competition Affect Exploration vs. Exploitation? A Tale of Two Recommendation Algorithms36 cited
  • 2024Probabilistic Machine Learning: New Frontiers for Modeling Consumers and their Choices10 cited