ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2210.07996
  4. Cited By
Degeneracy is OK: Logarithmic Regret for Network Revenue Management with Indiscrete Distributions
v1v2v3v4v5 (latest)

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

Operational Research (OR), 2022
3 January 2025
Jiashuo Jiang
Will Ma
Jiawei Zhang
ArXiv (abs)PDFHTML

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

12 / 12 papers shown
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
212
2
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 MethodsInternational Conference on Machine Learning (ICML), 2024
Wenzhi Gao
Chunlin Sun
Chenyu Xue
Dongdong Ge
Yinyu Ye
229
3
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
151
0
0
06 Jan 2025
Infrequent Resolving Algorithm for Online Linear Programming
Infrequent Resolving Algorithm for Online Linear Programming
Guokai Li
Yuan Wang
Mingjie Li
534
2
0
01 Aug 2024
Online Stochastic Optimization with Wasserstein Based Non-stationarity
Online Stochastic Optimization with Wasserstein Based Non-stationarityManagement Sciences (MS), 2020
Jiashuo Jiang
Xiaocheng Li
Jiawei Zhang
229
36
0
13 Dec 2020
The Best of Many Worlds: Dual Mirror Descent for Online Allocation
  Problems
The Best of Many Worlds: Dual Mirror Descent for Online Allocation ProblemsOperational Research (OR), 2020
S. Balseiro
Haihao Lu
Vahab Mirrokni
420
123
0
18 Nov 2020
Logarithmic Regret in Multisecretary and Online Linear Programs with
  Continuous Valuations
Logarithmic Regret in Multisecretary and Online Linear Programs with Continuous ValuationsOperational Research (OR), 2019
R. Bray
242
5
0
16 Dec 2019
Online Linear Programming: Dual Convergence, New Algorithms, and Regret
  Bounds
Online Linear Programming: Dual Convergence, New Algorithms, and Regret BoundsOperational Research (OR), 2019
Xiaocheng Li
Yinyu Ye
129
72
0
12 Sep 2019
Online Allocation and Pricing: Constant Regret via Bellman Inequalities
Online Allocation and Pricing: Constant Regret via Bellman InequalitiesOperational Research (OR), 2019
Alberto Vera
Siddhartha Banerjee
I. Gurvich
OffRL
175
52
0
14 Jun 2019
The Bayesian Prophet: A Low-Regret Framework for Online Decision Making
The Bayesian Prophet: A Low-Regret Framework for Online Decision Making
Alberto Vera
Siddhartha Banerjee
OffRL
285
94
0
15 Jan 2019
Geometry of Online Packing Linear Programs
Geometry of Online Packing Linear ProgramsInternational Colloquium on Automata, Languages and Programming (ICALP), 2012
Marco Molinaro Carnegie
Mellon R. Ravi
238
80
0
26 Apr 2012
A Dynamic Near-Optimal Algorithm for Online Linear Programming
A Dynamic Near-Optimal Algorithm for Online Linear Programming
Shipra Agrawal
Zizhuo Wang
Yinyu Ye
325
321
0
16 Nov 2009
1