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Mostly Exploration-Free Algorithms for Contextual Bandits
15 references·10 citing·31 second hop
Mostly Exploration-Free Algorithms for Contextual Bandits (2020)Mostly Exploration-Free Algorithms for Co…Online Decision Making with High-Dimensional Covariates (2019)Online Decision Making with H…Dynamic Pricing with Demand Covariates (2016)Dynamic Pricing with Demand C…Learning to Optimize via Posterior Sampling (2014)Learning to Optimize via Post…Dynamic Pricing with an Unknown Demand Model: Asymptotically Optimal Semi-Myopic Policies (2014)Dynamic Pricing with an Unkno…Simultaneously Learning and Optimizing Using Controlled Variance Pricing (2013)Simultaneously Learning and O…Thompson Sampling for Contextual Bandits with Linear Payoffs (2012)Thompson Sampling for Context…Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Regret Analysis of Stochastic…Dynamic Pricing Under a General Parametric Choice Model (2012)Dynamic Pricing Under a Gener…Improved Algorithms for Linear Stochastic Bandits (2011)Improved Algorithms for Linea…Contextual Bandits with Linear Payoff Functions (2011)Contextual Bandits with Linea…Parametric Bandits: The Generalized Linear Case (2010)Parametric Bandits: The Gener…Stochastic Linear Optimization Under Bandit Feedback (2008)Stochastic Linear Optimizatio…The Epoch-Greedy algorithm for contextual multi-armed bandits (2007)The Epoch-Greedy algorithm fo…Using confidence bounds for exploitation-exploration trade-offs (2003)Using confidence bounds for e…Bandit Processes and Dynamic Allocation Indices (1979)Bandit Processes and Dynamic …The Externalities of Exploration and How Data Diversity Helps Exploitation (2023)The Externalities of Explorat…Selection Problems in the Presence of Implicit Bias (2023)Selection Problems in the Pre…On Fairness and Calibration (2023)On Fairness and CalibrationMitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices (2023)Mitigating Bias in Algorithmi…When does forecasting GAAP earnings entail unreasonable effort? (2021)When does forecasting GAAP ea…Meta Dynamic Pricing: Transfer Learning Across Experiments (2021)Meta Dynamic Pricing: Transfe…Adaptive Treatment Assignment in Experiments for Policy Choice (2021)Adaptive Treatment Assignment…Model Distillation for Revenue Optimization: Interpretable Personalized Pricing (2020)Model Distillation for Revenu…Hiring as Exploration (2020)Hiring as ExplorationModel selection for contextual bandits (2019)Model selection for contextua…Finite-time Analysis of the Multiarmed Bandit Problem (2002)The Nonstochastic Multiarmed Bandit Problem (2002)Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms (2011)Collaborative Filtering Bandits (2016)A Stochastic Approximation Method (1951)Prediction, Learning, and Games (2006)Introduction to Online Convex Optimization (2016)Introduction to Online Convex Optimization (2016)Introduction to Multi-Armed Bandits (2019)Some aspects of the sequential design of experiments (1952)Bandit Algorithms (2020)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)A Tutorial on Thompson Sampling (2018)A unified framework for stochastic optimization (2018)Pricing and revenue optimization (2002)Pricing and Revenue Optimization (2005)Dynamic Pricing Without Knowing the Demand Function: Risk Bounds and Near-Optimal Algorithms (2009)Recent Developments in Dynamic Pricing Research: Multiple Products, Competition, and Limited Demand Information (2014)Non-Stationary Stochastic Optimization (2015)Online Network Revenue Management Using Thompson Sampling (2018)An Empirical Evaluation of Thompson Sampling (2011)Further Optimal Regret Bounds for Thompson Sampling (2012)Gambling in a rigged casino: The adversarial multi-armed bandit problem (2002)Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems (2006)Interactively optimizing information retrieval systems as a dueling bandits problem (2009)Contextual Gaussian Process Bandit Optimization (2011)Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits (2014)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)
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References

  • 1979Bandit Processes and Dynamic Allocation Indices1,488 cited
  • 2012Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems1,410 cited
  • 2003Using confidence bounds for exploitation-exploration trade-offs1,189 cited
  • 2011Improved Algorithms for Linear Stochastic Bandits860 cited
  • 2012Thompson Sampling for Contextual Bandits with Linear Payoffs600 cited
  • 2011Contextual Bandits with Linear Payoff Functions599 cited
  • 2008Stochastic Linear Optimization Under Bandit Feedback581 cited
  • 2014Learning to Optimize via Posterior Sampling494 cited
  • 2007The Epoch-Greedy algorithm for contextual multi-armed bandits307 cited
  • 2014Dynamic Pricing with an Unknown Demand Model: Asymptotically Optimal Semi-Myopic Policies302 cited
  • 2012Dynamic Pricing Under a General Parametric Choice Model275 cited
  • 2019Online Decision Making with High-Dimensional Covariates264 cited
  • 2010Parametric Bandits: The Generalized Linear Case241 cited
  • 2013Simultaneously Learning and Optimizing Using Controlled Variance Pricing214 cited
  • 2016Dynamic Pricing with Demand Covariates83 cited

Cited by

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  • 2021Adaptive Treatment Assignment in Experiments for Policy Choice91 cited
  • 2021Meta Dynamic Pricing: Transfer Learning Across Experiments78 cited
  • 2023Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices65 cited
  • 2020Hiring as Exploration64 cited
  • 2023On Fairness and Calibration45 cited
  • 2019Model selection for contextual bandits42 cited
  • 2020Model Distillation for Revenue Optimization: Interpretable Personalized Pricing37 cited
  • 2023The Externalities of Exploration and How Data Diversity Helps Exploitation19 cited
  • 2021When does forecasting GAAP earnings entail unreasonable effort?19 cited
  • 2023Selection Problems in the Presence of Implicit Bias18 cited