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Single-Leg Revenue Management with Advice
v1v2v3 (latest)

Single-Leg Revenue Management with Advice

ACM Conference on Economics and Computation (EC), 2022
18 February 2022
S. Balseiro
Christian Kroer
Rachitesh Kumar
ArXiv (abs)PDFHTMLGithub

Papers citing "Single-Leg Revenue Management with Advice"

11 / 11 papers shown
Posted Pricing for Online Selection: Limited Price Changes and Risk Sensitivity
Posted Pricing for Online Selection: Limited Price Changes and Risk Sensitivity
Hossein Nekouyan
Bo Sun
Raouf Boutaba
Xiaoqi Tan
66
0
0
02 Dec 2025
Online Multi-Class Selection with Group Fairness Guarantee
Online Multi-Class Selection with Group Fairness Guarantee
Faraz Zargari
Hossein Nekouyan
Lyndon Hallett
Bo Sun
Xiaoqi Tan
FaML
219
0
0
23 Oct 2025
Online Fair Division with Additional Information
Online Fair Division with Additional Information
Tzeh Yuan Neoh
Jannik Peters
Nicholas Teh
151
7
0
30 May 2025
Efficiently Solving Discounted MDPs with Predictions on Transition Matrices
Efficiently Solving Discounted MDPs with Predictions on Transition Matrices
Lixing Lyu
Jiashuo Jiang
Wang Chi Cheung
345
3
0
24 Feb 2025
Best of Many in Both Worlds: Online Resource Allocation with Predictions
  under Unknown Arrival Model
Best of Many in Both Worlds: Online Resource Allocation with Predictions under Unknown Arrival Model
Lin An
Andrew A. Li
Benjamin Moseley
Gabriel Visotsky
361
2
0
21 Feb 2024
Grace Period is All You Need: Individual Fairness without Revenue Loss in Revenue Management
Grace Period is All You Need: Individual Fairness without Revenue Loss in Revenue Management
Patrick Jaillet
Chara Podimata
Zijie Zhou
FaML
235
0
0
13 Feb 2024
Constrained Online Two-stage Stochastic Optimization: Algorithm with
  (and without) Predictions
Constrained Online Two-stage Stochastic Optimization: Algorithm with (and without) PredictionsSocial Science Research Network (SSRN), 2024
Piao Hu
Jiashuo Jiang
Guodong Lyu
Hao Su
285
2
0
02 Jan 2024
Online Algorithms with Uncertainty-Quantified Predictions
Online Algorithms with Uncertainty-Quantified PredictionsInternational Conference on Machine Learning (ICML), 2023
Bo Sun
Jerry Huang
Nicolas H. Christianson
Mohammad Hajiesmaili
Adam Wierman
Raouf Boutaba
231
12
0
17 Oct 2023
Time Fairness in Online Knapsack Problems
Time Fairness in Online Knapsack ProblemsInternational Conference on Learning Representations (ICLR), 2023
Adam Lechowicz
Rik Sengupta
Bo Sun
Shahin Kamali
Mohammad Hajiesmaili
FaML
319
8
0
22 May 2023
Scheduling with Predictions
Scheduling with Predictions
Woo-Hyung Cho
S. Henderson
D. Shmoys
OffRL
249
4
0
20 Dec 2022
Online Search with Predictions: Pareto-optimal Algorithm and its
  Applications in Energy Markets
Online Search with Predictions: Pareto-optimal Algorithm and its Applications in Energy MarketsEnergy-Efficient Computing and Networking (ECN), 2022
Russell Lee
Bo Sun
Mohammad Hajiesmaili
John C. S. Lui
195
16
0
12 Nov 2022
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