Beijing Institute of Mathematical Sciences and Applications

本机构学者在这里署名、按本站篇数

合作机构同一篇文章里的其他机构

1. New York University美国4
2. Tsinghua University中国3
3. Fudan University中国3
4. Huazhong University of Science and Technology中国2
5. University of Illinois Urbana-Champaign美国2
6. The University of Texas at Dallas美国2
7. Massachusetts Institute of Technology美国1
8. Georgia Institute of Technology美国1

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最新文献

1. 1
   Learning in Lost-Sales Inventory Systems with Stochastic Lead Times and Random SuppliesManagement Science20265
2. 2
   Regret optimality of sample average approximation for data-driven newsvendor problems: A general optimization perspectiveProduction and Operations Management20261
3. 3
   A Re-Solving Heuristic for Dynamic Assortment Optimization With Knapsack ConstraintsProduction and Operations Management20250
4. 4
   Technical Note—Fairness-Aware Online Price Discrimination with Nonparametric Demand ModelsOperations Research20255
5. 5
   Bayesian Mechanism Design for Blockchain Transaction Fee AllocationOperations Research20254
6. 6
   A Minibatch Stochastic Gradient Descent-Based Learning Metapolicy for Inventory Systems with Myopic Optimal PolicyManagement Science20246
7. 7
   Network Revenue Management With Demand Learning and Fair Resource-Consumption BalancingProduction and Operations Management20249

高被引文献

1. 1
   Network Revenue Management With Demand Learning and Fair Resource-Consumption BalancingProduction and Operations Management20249
2. 2
   A Minibatch Stochastic Gradient Descent-Based Learning Metapolicy for Inventory Systems with Myopic Optimal PolicyManagement Science20246
3. 3
   Technical Note—Fairness-Aware Online Price Discrimination with Nonparametric Demand ModelsOperations Research20255
4. 4
   Learning in Lost-Sales Inventory Systems with Stochastic Lead Times and Random SuppliesManagement Science20265
5. 5
   Bayesian Mechanism Design for Blockchain Transaction Fee AllocationOperations Research20254
6. 6
   Regret optimality of sample average approximation for data-driven newsvendor problems: A general optimization perspectiveProduction and Operations Management20261

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