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Degeneracy is OK: Logarithmic Regret for Network Revenue Management with Indiscrete Distributions

Degeneracy is OK: Logarithmic Regret for Network Revenue Management with Indiscrete Distributions

3 January 2025
Jiashuo Jiang
Will Ma
Jiawei Zhang
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Papers citing "Degeneracy is OK: Logarithmic Regret for Network Revenue Management with Indiscrete Distributions"

4 / 4 papers shown
Title
Learning to Price with Resource Constraints: From Full Information to Machine-Learned Prices
Learning to Price with Resource Constraints: From Full Information to Machine-Learned Prices
Ruicheng Ao
Jiashuo Jiang
D. Simchi-Levi
64
1
0
24 Jan 2025
Decoupling Learning and Decision-Making: Breaking the $\mathcal{O}(\sqrt{T})$ Barrier in Online Resource Allocation with First-Order Methods
Decoupling Learning and Decision-Making: Breaking the O(T)\mathcal{O}(\sqrt{T})O(T​) Barrier in Online Resource Allocation with First-Order Methods
Wenzhi Gao
Chunlin Sun
Chenyu Xue
Dongdong Ge
Yinyu Ye
67
1
0
08 Jan 2025
Beyond O(T)\mathcal{O}(\sqrt{T})O(T​) Regret: Decoupling Learning and Decision-making in Online Linear Programming
Wenzhi Gao
Dongdong Ge
Chenyu Xue
Chunlin Sun
Yinyu Ye
28
0
0
06 Jan 2025
Logarithmic Regret in Multisecretary and Online Linear Programs with
  Continuous Valuations
Logarithmic Regret in Multisecretary and Online Linear Programs with Continuous Valuations
R. Bray
17
4
0
16 Dec 2019
1