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Dynamic Pricing with Limited Supply

Dynamic Pricing with Limited Supply

20 August 2011
Moshe Babaioff
S. Dughmi
Robert D. Kleinberg
Aleksandrs Slivkins
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Papers citing "Dynamic Pricing with Limited Supply"

26 / 26 papers shown
Title
No-Regret Learning for Stackelberg Equilibrium Computation in Newsvendor
  Pricing Games
No-Regret Learning for Stackelberg Equilibrium Computation in Newsvendor Pricing Games
Larkin Liu
Yuming Rong
38
0
0
30 Mar 2024
Bandits with Replenishable Knapsacks: the Best of both Worlds
Bandits with Replenishable Knapsacks: the Best of both Worlds
Martino Bernasconi
Matteo Castiglioni
A. Celli
Federico Fusco
41
4
0
14 Jun 2023
Bayesian Optimization for Function Compositions with Applications to
  Dynamic Pricing
Bayesian Optimization for Function Compositions with Applications to Dynamic Pricing
Kunal Jain
J. PrabuchandranK.
Tejas Bodas
35
2
0
21 Mar 2023
Regulatory Instruments for Fair Personalized Pricing
Regulatory Instruments for Fair Personalized Pricing
Renzhe Xu
Xingxuan Zhang
Pengbi Cui
Yangqiu Song
Zheyan Shen
Jiazheng Xu
13
15
0
09 Feb 2022
Policy Optimization Using Semi-parametric Models for Dynamic Pricing
Policy Optimization Using Semi-parametric Models for Dynamic Pricing
Jianqing Fan
Yongyi Guo
Mengxin Yu
34
30
0
13 Sep 2021
Bilateral Trade: A Regret Minimization Perspective
Bilateral Trade: A Regret Minimization Perspective
Nicolò Cesa-Bianchi
Tommaso Cesari
Roberto Colomboni
Federico Fusco
S. Leonardi
41
21
0
08 Sep 2021
A Simple Reward-free Approach to Constrained Reinforcement Learning
A Simple Reward-free Approach to Constrained Reinforcement Learning
Sobhan Miryoosefi
Chi Jin
16
29
0
12 Jul 2021
Bandit based centralized matching in two-sided markets for peer to peer
  lending
Bandit based centralized matching in two-sided markets for peer to peer lending
Soumajyoti Sarkar
11
0
0
06 May 2021
A Regret Analysis of Bilateral Trade
A Regret Analysis of Bilateral Trade
Nicolò Cesa-Bianchi
Tommaso Cesari
Roberto Colomboni
Federico Fusco
S. Leonardi
42
20
0
16 Feb 2021
Adaptive Discretization for Adversarial Lipschitz Bandits
Adaptive Discretization for Adversarial Lipschitz Bandits
Chara Podimata
Aleksandrs Slivkins
20
16
0
22 Jun 2020
Inventory Balancing with Online Learning
Inventory Balancing with Online Learning
Wang Chi Cheung
Will Ma
D. Simchi-Levi
Xinshang Wang
18
16
0
11 Oct 2018
Contextual Search via Intrinsic Volumes
Contextual Search via Intrinsic Volumes
R. Leme
Jon Schneider
65
44
0
09 Apr 2018
MNL-Bandit: A Dynamic Learning Approach to Assortment Selection
MNL-Bandit: A Dynamic Learning Approach to Assortment Selection
Shipra Agrawal
Vashist Avadhanula
Vineet Goyal
A. Zeevi
25
154
0
13 Jun 2017
Multi-scale Online Learning and its Applications to Online Auctions
Multi-scale Online Learning and its Applications to Online Auctions
Sébastien Bubeck
Nikhil R. Devanur
Zhiyi Huang
Rad Niazadeh
13
39
0
26 May 2017
Combinatorial Semi-Bandits with Knapsacks
Combinatorial Semi-Bandits with Knapsacks
Karthik Abinav Sankararaman
Aleksandrs Slivkins
33
48
0
23 May 2017
Dynamic Pricing in High-dimensions
Dynamic Pricing in High-dimensions
Adel Javanmard
Hamid Nazerzadeh
73
138
0
24 Sep 2016
An Online Mechanism for Ridesharing in Autonomous Mobility-on-Demand
  Systems
An Online Mechanism for Ridesharing in Autonomous Mobility-on-Demand Systems
Wen-Chin Shen
C. Lopes
J. Crandall
14
33
0
07 Mar 2016
Linear Contextual Bandits with Knapsacks
Linear Contextual Bandits with Knapsacks
Shipra Agrawal
Nikhil R. Devanur
41
142
0
24 Jul 2015
An efficient algorithm for contextual bandits with knapsacks, and an
  extension to concave objectives
An efficient algorithm for contextual bandits with knapsacks, and an extension to concave objectives
Shipra Agrawal
Nikhil R. Devanur
Lihong Li
25
90
0
10 Jun 2015
An Incentive Compatible Multi-Armed-Bandit Crowdsourcing Mechanism with
  Quality Assurance
An Incentive Compatible Multi-Armed-Bandit Crowdsourcing Mechanism with Quality Assurance
Shweta Jain
Sujit Gujar
Satyanath Bhat
O. Zoeter
Y. Narahari
37
6
0
27 Jun 2014
Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms
  for Repeated Principal-Agent Problems
Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems
Chien-Ju Ho
Aleksandrs Slivkins
Jennifer Wortman Vaughan
46
143
0
12 May 2014
Resourceful Contextual Bandits
Resourceful Contextual Bandits
Ashwinkumar Badanidiyuru
John Langford
Aleksandrs Slivkins
40
117
0
27 Feb 2014
Bandits with concave rewards and convex knapsacks
Bandits with concave rewards and convex knapsacks
Shipra Agrawal
Nikhil R. Devanur
52
196
0
24 Feb 2014
Bandits and Experts in Metric Spaces
Bandits and Experts in Metric Spaces
Robert D. Kleinberg
Aleksandrs Slivkins
E. Upfal
49
120
0
04 Dec 2013
Online Decision Making in Crowdsourcing Markets: Theoretical Challenges
  (Position Paper)
Online Decision Making in Crowdsourcing Markets: Theoretical Challenges (Position Paper)
Aleksandrs Slivkins
Jennifer Wortman Vaughan
31
88
0
08 Aug 2013
Adaptive Crowdsourcing Algorithms for the Bandit Survey Problem
Adaptive Crowdsourcing Algorithms for the Bandit Survey Problem
Ittai Abraham
Omar Alonso
Vasileios Kandylas
Aleksandrs Slivkins
46
60
0
13 Feb 2013
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