SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
UCB-Type Learning Algorithms with Kaplan–Meier Estimator for Lost-Sales Inventory Models with Lead Times
16 references·0 citing·32 second hop
UCB-Type Learning Algorithms with Kaplan–Meier Estimator for Lost-Sales Inventory Models with Lead Times (2024)UCB-Type Learning Algorithms with Kaplan–…MNL-Bandit: A Dynamic Learning Approach to Assortment Selection (2019)MNL-Bandit: A Dynamic Learnin…Closing the Gap: A Learning Algorithm for Lost-Sales Inventory Systems with Lead Times (2019)Closing the Gap: A Learning A…Asymptotic Optimality of Tailored Base-Surge Policies in Dual-Sourcing Inventory Systems (2017)Asymptotic Optimality of Tail…Asymptotic Optimality of Constant-Order Policies for Lost Sales Inventory Models with Large Lead Times (2016)Asymptotic Optimality of Cons…Learning to Optimize via Posterior Sampling (2014)Learning to Optimize via Post…Adaptive Data-Driven Inventory Control with Censored Demand Based on Kaplan-Meier Estimator (2011)Adaptive Data-Driven Inventor…A Nonparametric Asymptotic Analysis of Inventory Planning with Censored Demand (2009)A Nonparametric Asymptotic An…Old and New Methods for Lost-Sales Inventory Systems (2008)Old and New Methods for Lost-…Asymptotic Optimality of Order-Up-To Policies in Lost Sales Inventory Systems (2008)Asymptotic Optimality of Orde…A 2-Approximation Algorithm for Stochastic Inventory Control Models with Lost Sales (2008)A 2-Approximation Algorithm f…Inventory Models of the Arrow-Harris-Marschak Type with Time Lag (2005)Inventory Models of the Arrow…The Nonstochastic Multiarmed Bandit Problem (2002)The Nonstochastic Multiarmed …Finite-time Analysis of the Multiarmed Bandit Problem (2002)Finite-time Analysis of the M…Sample mean based index policies byO(logn) regret for the multi-armed bandit problem (1995)Sample mean based index polic…Studies in Mathematical Theory of Inventory and Production (1959)Studies in Mathematical Theor…Some aspects of the sequential design of experiments (1952)Some aspects of the sequentia…A Stochastic Approximation Method (1951)Bandit Processes and Dynamic Allocation Indices (1979)The Distribution Free Newsboy Problem: Review and Extensions (1993)Foundations of Inventory Management (2000)The Theory and Practice of Revenue Management (2004)On Implications of Demand Censoring in the Newsvendor Problem (2013)The Big Data Newsvendor: Practical Insights from Machine Learning (2015)Nonparametric Learning Algorithms for Joint Pricing and Inventory Control with Lost Sales and Censored Demand (2021)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Online Learning and Online Convex Optimization (2011)Online Learning and Online Convex Optimization (2012)Foundations of Stochastic Inventory Theory (2002)New Policies for the Stochastic Inventory Control Problem with Two Supply Sources (2010)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)Online convex programming and generalized infinitesimal gradient ascent (2003)Non-Stationary Stochastic Optimization (2015)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Discrete Choice Methods with Simulation (2001)Dynamic Assortment Personalization in High Dimensions (2020)Restaurant analytics: Emerging practice and research opportunities (2022)Operational Research: methods and applications (2023)Linearly Parameterized Bandits (2010)On Upper-Confidence Bound Policies for Switching Bandit Problems (2011)Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms (2011)Prediction, Learning, and Games (2006)Measuring and avoiding the bullwhip effect: A control theoretic approach (2003)Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems (2010)Distributionally Robust Convex Optimization (2014)
this work references cited by second hop

References

  • 2002Finite-time Analysis of the Multiarmed Bandit Problem5,980 cited
  • 2002The Nonstochastic Multiarmed Bandit Problem2,210 cited
  • 1952Some aspects of the sequential design of experiments2,183 cited
  • 1959Studies in Mathematical Theory of Inventory and Production696 cited
  • 1995Sample mean based index policies byO(logn) regret for the multi-armed bandit problem539 cited
  • 2014Learning to Optimize via Posterior Sampling494 cited
  • 2009A Nonparametric Asymptotic Analysis of Inventory Planning with Censored Demand220 cited
  • 2011Adaptive Data-Driven Inventory Control with Censored Demand Based on Kaplan-Meier Estimator182 cited
  • 2008Old and New Methods for Lost-Sales Inventory Systems152 cited
  • 2019MNL-Bandit: A Dynamic Learning Approach to Assortment Selection144 cited
  • 2008Asymptotic Optimality of Order-Up-To Policies in Lost Sales Inventory Systems127 cited
  • 2005Inventory Models of the Arrow-Harris-Marschak Type with Time Lag109 cited
  • 2019Closing the Gap: A Learning Algorithm for Lost-Sales Inventory Systems with Lead Times102 cited
  • 2017Asymptotic Optimality of Tailored Base-Surge Policies in Dual-Sourcing Inventory Systems95 cited
  • 2008A 2-Approximation Algorithm for Stochastic Inventory Control Models with Lost Sales

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

91 cited
  • 2016Asymptotic Optimality of Constant-Order Policies for Lost Sales Inventory Models with Large Lead Times91 cited
  • Cited by

    No citing works inside the corpus for this window.