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Optimal Policy for Dynamic Assortment Planning Under Multinomial Logit Models
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Optimal Policy for Dynamic Assortment Planning Under Multinomial Logit Models (2021)Optimal Policy for Dynamic Assortment Pla…Managing Flexible Products on a Network (2020)Managing Flexible Products on…Feature-Based Dynamic Pricing (2020)Feature-Based Dynamic PricingMNL-Bandit: A Dynamic Learning Approach to Assortment Selection (2019)MNL-Bandit: A Dynamic Learnin…Thompson Sampling for Online Personalized Assortment Optimization Problems with Multinomial Logit Choice Models (2017)Thompson Sampling for Online …Real-Time Optimization of Personalized Assortments (2014)Real-Time Optimization of Per…Stochastic Convex Optimization with Bandit Feedback (2013)Stochastic Convex Optimizatio…Optimal Dynamic Assortment Planning with Demand Learning (2013)Optimal Dynamic Assortment Pl…Robust Assortment Optimization in Revenue Management Under the Multinomial Logit Choice Model (2012)Robust Assortment Optimizatio…Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Regret Analysis of Stochastic…Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint (2010)Dynamic Assortment Optimizati…Regret and Convergence Bounds for a Class of Continuum-Armed Bandit Problems (2009)Regret and Convergence Bounds…On the Choice-Based Linear Programming Model for Network Revenue Management (2007)On the Choice-Based Linear Pr…Dynamic Assortment with Demand Learning for Seasonal Consumer Goods (2007)Dynamic Assortment with Deman…Revenue Management Under a General Discrete Choice Model of Consumer Behavior (2004)Revenue Management Under a Ge…Stocking Retail Assortments Under Dynamic Consumer Substitution (2001)Stocking Retail Assortments U…On the Relationship Between Inventory Costs and Variety Benefits in Retail Assortments (1999)On the Relationship Between I…Robust Dynamic Assortment Optimization in the Presence of Outlier Customers (2023)Robust Dynamic Assortment Opt…Dynamic assortment planning and capacity allocation with logit substitution (2023)Dynamic assortment planning a…Discrete Choice Analysis (1985)Discrete Choice Theory of Product Differentiation (1992)Customer Behavior Modeling in Revenue Management and Auctions: A Review and New Research Opportunities (2007)Measuring the efficiency of decision making units (1978)Discrete Choice Analysis: Theory and Application to Travel Demand (1987)Discrete choice analysis: Theory and application to travel demand (1988)Intertemporal Pricing with Strategic Customer Behavior (2007)Artificial intelligence for decision support systems in the field of operations research: review and future scope of research (2021)Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons (1994)The Theory and Practice of Revenue Management (2004)Big Data and Service Operations (2017)A review of revenue management: Recent generalizations and advances in industry applications (2019)Data Analytics in Operations Management: A Review (2019)Conditional logit analysis of qualitative choice behavior (1972)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Dynamic pricing and learning: Historical origins, current research, and new directions (2015)Dynamic pricing and learning: Historical origins, current research, and new directions (2015)Introduction to Multi-Armed Bandits (2019)Bandit Processes and Dynamic Allocation Indices (1979)Restless bandits: activity allocation in a changing world (1988)Perspectives in supply chain risk management (2006)Revenue Management: Research Overview and Prospects (1999)An overview of research on revenue management: current issues and future research (2006)A Logit Model of Brand Choice Calibrated on Scanner Data (1983)An Econometric Analysis of Inventory Turnover Performance in Retail Services (2005)Demand Estimation and Assortment Optimization Under Substitution: Methodology and Application (2007)The Price of Robustness (2004)A Nonparametric Approach to Modeling Choice with Limited Data (2013)Recent advances in robust optimization: An overview (2013)Data-driven robust optimization (2017)Discrete-Event System Simulation (1984)The Economics of Product Variety: A Survey (1990)Centralized and Competitive Inventory Models with Demand Substitution (2003)Associative Reinforcement Learning using Linear Probabilistic Concepts (1999)Beating the adaptive bandit with high probability (2009)Improved Algorithms for Linear Stochastic Bandits (2011)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Bandit Algorithms (2020)
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References

  • 2012Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems1,302 cited
  • 2004Revenue Management Under a General Discrete Choice Model of Consumer Behavior1,110 cited
  • 1999On the Relationship Between Inventory Costs and Variety Benefits in Retail Assortments492 cited
  • 2010Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint490 cited
  • 2001Stocking Retail Assortments Under Dynamic Consumer Substitution423 cited
  • 2007On the Choice-Based Linear Programming Model for Network Revenue Management366 cited
  • 2007Dynamic Assortment with Demand Learning for Seasonal Consumer Goods307 cited
  • 2014Real-Time Optimization of Personalized Assortments250 cited
  • 2020Managing Flexible Products on a Network200 cited
  • 2012Robust Assortment Optimization in Revenue Management Under the Multinomial Logit Choice Model184 cited
  • 2013Optimal Dynamic Assortment Planning with Demand Learning181 cited
  • 2013Stochastic Convex Optimization with Bandit Feedback167 cited
  • 2019MNL-Bandit: A Dynamic Learning Approach to Assortment Selection144 cited
  • 2020Feature-Based Dynamic Pricing128 cited
  • 2009Regret and Convergence Bounds for a Class of Continuum-Armed Bandit Problems

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80 cited
  • 2017Thompson Sampling for Online Personalized Assortment Optimization Problems with Multinomial Logit Choice Models44 cited
  • Cited by

    • 2023Robust Dynamic Assortment Optimization in the Presence of Outlier Customers13 cited
    • 2023Dynamic assortment planning and capacity allocation with logit substitution8 cited