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Dynamic Contextual Pricing with Doubly Non-Parametric Random Utility Models
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Dynamic Contextual Pricing with Doubly Non-Parametric Random Utility Models (2024)Dynamic Contextual Pricing with Doubly No…Privacy-Preserving Dynamic Personalized Pricing with Demand Learning (2021)Privacy-Preserving Dynamic Pe…Personalized Dynamic Pricing with Machine Learning: High-Dimensional Features and Heterogeneous Elasticity (2021)Personalized Dynamic Pricing …Nonparametric Pricing Analytics with Customer Covariates (2021)Nonparametric Pricing Analyti…Nonparametric Learning Algorithms for Joint Pricing and Inventory Control with Lost Sales and Censored Demand (2021)Nonparametric Learning Algori…Meta Dynamic Pricing: Transfer Learning Across Experiments (2021)Meta Dynamic Pricing: Transfe…Feature-Based Dynamic Pricing (2020)Feature-Based Dynamic PricingBandit Algorithms (2020)Bandit AlgorithmsIntroduction to Multi-Armed Bandits (2019)Introduction to Multi-Armed B…Dynamic Learning and Pricing with Model Misspecification (2019)Dynamic Learning and Pricing …Dynamic Pricing with Demand Learning and Reference Effects (2017)Dynamic Pricing with Demand L…Dynamic Pricing with Demand Covariates (2016)Dynamic Pricing with Demand C…Chasing Demand: Learning and Earning in a Changing Environment (2016)Chasing Demand: Learning and …The Effectiveness of Field Price Discretion: Empirical Evidence from Auto Lending (2015)The Effectiveness of Field Pr…The multi-armed bandit problem with covariates (2013)The multi-armed bandit proble…The multi-armed bandit problem with covariates (2011)The multi-armed bandit proble…The value of knowing a demand curve: bounds on regret for online posted-price auctions (2004)The value of knowing a demand…Some aspects of the sequential design of experiments (1952)Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems (2006)The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information (2007)Dynamic pricing and learning: Historical origins, current research, and new directions (2015)Online Decision Making with High-Dimensional Covariates (2019)Optimal Auction Design (1981)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Gambling in a rigged casino: The adversarial multi-armed bandit problem (2002)Mechanism Design via Differential Privacy (2007)Automobile Prices in Market Equilibrium (1995)The Theory and Practice of Revenue Management (2004)Prediction, Learning, and Games (2006)Dynamic Pricing and Inventory Control with Fixed Ordering Cost and Incomplete Demand Information (2021)Experimenting in Equilibrium (2021)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Competition and Innovation: An Inverted-U Relationship* (2005)Stochastic bandits robust to adversarial corruptions (2018)Predictive Policing for Reform? Indeterminacy and Intervention in Big Data Policing (2019)A two-armed bandit theory of market pricing (1974)The Nonstochastic Multiarmed Bandit Problem (2002)The Composition of Hedonic Pricing Models (2005)The role of psychological distance in organizational responses to modern slavery risk in supply chains (2021)The promise of digital technologies for sustainable entrepreneurship: A systematic literature review and research agenda (2022)Operations & supply chain management: principles and practice (2025)Forecasting Sales by Exponentially Weighted Moving Averages (1960)Sequential Changepoint Detection in Quality Control and Dynamical Systems (1995)Pricing and Revenue Optimization (2020)Frontiers: Algorithmic Collusion: Supra-competitive Prices via Independent Algorithms (2021)Data-Driven Dynamic Pricing and Ordering with Perishable Inventory in a Changing Environment (2022)Dynamic Pricing Without Knowing the Demand Function: Risk Bounds and Near-Optimal Algorithms (2009)Analytics for an Online Retailer: Demand Forecasting and Price Optimization (2015)The Big Data Newsvendor: Practical Insights from Machine Learning (2018)Digital transformation of traditional marketing business model in new industry era (2020)PORTFOLIO SELECTION* (1952)Prospect Theory: An Analysis of Decision under Risk (1979)Optimization of conditional value-at-risk (2000)Hedging the Drift: Learning to Optimize Under Non-Stationarity (2018)Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits Under Realizability (2021)Multi-Armed Bandits With Correlated Arms (2021)Loss Aversion in Riskless Choice: A Reference-Dependent Model (1991)Modeling Loss Aversion and Reference Dependence Effects on Brand Choice (1993)Dynamic pricing with Bayesian demand learning and reference price effect (2019)Online channel structures for green products with reference greenness effect and consumer environmental awareness (CEA) (2022)Is online-to-offline customer care support essential for consumer service? (2023)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)
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References

  • 2020Bandit Algorithms994 cited
  • 2019Introduction to Multi-Armed Bandits820 cited
  • 2004The value of knowing a demand curve: bounds on regret for online posted-price auctions314 cited
  • 2021Personalized Dynamic Pricing with Machine Learning: High-Dimensional Features and Heterogeneous Elasticity202 cited
  • 2011The multi-armed bandit problem with covariates153 cited
  • 2016Chasing Demand: Learning and Earning in a Changing Environment139 cited
  • 2020Feature-Based Dynamic Pricing128 cited
  • 2013The multi-armed bandit problem with covariates122 cited
  • 2017Dynamic Pricing with Demand Learning and Reference Effects96 cited
  • 2019Dynamic Learning and Pricing with Model Misspecification94 cited
  • 2015The Effectiveness of Field Price Discretion: Empirical Evidence from Auto Lending88 cited
  • 2021Privacy-Preserving Dynamic Personalized Pricing with Demand Learning86 cited
  • 2021Nonparametric Learning Algorithms for Joint Pricing and Inventory Control with Lost Sales and Censored Demand85 cited
  • 2016Dynamic Pricing with Demand Covariates83 cited
  • 2021Meta Dynamic Pricing: Transfer Learning Across Experiments78 cited

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  • 2021Nonparametric Pricing Analytics with Customer Covariates52 cited
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