Fetching the paper…
Reading the bibliography…
In addition to maximizing the total revenue, decision-makers in lots of industries would like to guarantee balanced consumption across different resources.
The bargaining problem
Nash Jr, John F. 1950 · 1950
Earlier work this paper cites.
Assessing algorithmic fairness with unobserved protected class using data combination
Kallus, Nathan, Xiaojie Mao, Angela Zhou. 2022 · 1981
Earlier work this paper cites.
Optimal dynamic pricing of inventories with stochastic demand over finite horizons
Gallego, Guillermo, Garrett Van Ryzin. 1994 · 1994
Earlier work this paper cites.
A multiproduct dynamic pricing problem and its applications to network yield management
Gallego, Guillermo, Garrett Van Ryzin. 1997 · 1997
Earlier work this paper cites.
Exponentiated gradient versus gradient descent for linear predictors
Kivinen, Jyrki, Manfred K Warmuth. 1997 · 1997
Earlier work this paper cites.
Mirror descent and nonlinear projected subgradient methods for convex optimization
Beck, Amir, Marc Teboulle. 2003 · 2003
Earlier work this paper cites.
Convex optimization
Boyd, Stephen, Stephen P Boyd, Lieven Vandenberghe. 2004 · 2004
Earlier work this paper cites.
The theory and practice of revenue management
Talluri, Kalyan T, Garrett Van Ryzin, Garrett Van Ryzin. 2004 · 2004
Earlier work this paper cites.
Do suppliers benefit from collaborative relationships with large retailers? an empirical investigation of efficient consumer response adoption
Corsten, Daniel, Nirmalya Kumar. 2005 · 2005
Earlier work this paper cites.
The santa claus problem
Bansal, Nikhil, Maxim Sviridenko. 2006 · 2006
Earlier work this paper cites.
A queueing analysis of max-min fairness, proportional fairness and balanced fairness
Bonald, Thomas, Laurent Massoulié, Alexandre Proutiere, Jorma Virtamo. 2006 · 2006
Earlier work this paper cites.
Prediction, learning, and games
Cesa-Bianchi, Nicolo, Gábor Lugosi. 2006 · 2006
Earlier work this paper cites.
Dynamic pricing strategies for multiproduct revenue management problems
Maglaras, Constantinos, Joern Meissner. 2006 · 2006
Earlier work this paper cites.
Fairness and channel coordination
Haitao Cui, Tony, Jagmohan S Raju, Z John Zhang. 2007 · 2007
Earlier work this paper cites.
Stochastic linear optimization under bandit feedback
Dani, Varsha, Thomas P Hayes, Sham M Kakade. 2008 · 2008
Earlier work this paper cites.
Dynamic pricing without knowing the demand function: Risk bounds and near-optimal algorithms
Besbes, Omar, Assaf Zeevi. 2009 · 2009
Earlier work this paper cites.
Linearly parameterized bandits
Rusmevichientong, Paat, John N Tsitsiklis. 2010 · 2010
Earlier work this paper cites.
Improved algorithms for linear stochastic bandits
Abbasi-Yadkori, Yasin, Dávid Pál, Csaba Szepesvári. 2011 · 2011
Earlier work this paper cites.
The price of fairness
Bertsimas, Dimitris, Vivek F Farias, Nikolaos Trichakis. 2011 · 2011
Cited alongside, same era.
A survey of load balancing in cloud computing: Challenges and algorithms
Al Nuaimi, Klaithem, Nader Mohamed, Mariam Al Nuaimi, Jameela Al-Jaroodi. 2012 · 2012
Cited alongside, same era.
Blind network revenue management
Besbes, Omar, Assaf Zeevi. 2012 · 2012
Cited alongside, same era.
Geometric algorithms and combinatorial optimization
Grötschel, Martin, László Lovász, Alexander Schrijver. 2012 · 2012
Cited alongside, same era.
Adaptive parametric and nonparametric multi-product pricing via self-adjusting controls
Chen, Qi, Stefanus Jasin, Izak Duenyas. 2014 · 2014
Cited alongside, same era.
Dynamic pricing with multiple products and partially specified demand distribution
Den Boer, Arnoud V. 2014 · 2014
Cited alongside, same era.
Nonparametric self-adjusting control for joint learning and optimization of multiproduct pricing with finite resource capacity
Chen, Qi, Stefanus Jasin, Izak Duenyas. 2019 · 2019
Later among the works it cites.
Fair algorithms for learning in allocation problems
Elzayn, Hadi, Shahin Jabbari, Christopher Jung, Michael Kearns, Seth Neel, Aaron Roth, Zachary Schutzman. 2019 · 2019
Later among the works it cites.
A review of revenue management: Recent generalizations and advances in industry applications
Klein, Robert, Sebastian Koch, Claudius Steinhardt, Arne K Strauss. 2020 · 2020
Later among the works it cites.
A request-level guaranteed delivery advertising planning: Forecasting and allocation
Zhang, Hong, Lan Zhang, Lan Xu, Xiaoyang Ma, Zhengtao Wu, Cong Tang, Wei Xu, Yiguo Yang. 2020 · 2020
Later among the works it cites.
Regularized online allocation problems: Fairness and beyond
Balseiro, Santiago, Haihao Lu, Vahab Mirrokni. 2021 · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Simultaneously learning and optimizing using controlled variance pricing
Den Boer, Arnoud V, Bert Zwart. 2014 · 2014
Cited alongside, same era.
Reoptimization and self-adjusting price control for network revenue management
Jasin, Stefanus. 2014 · 2014
Cited alongside, same era.
Dynamic pricing with an unknown demand model: Asymptotically optimal semi-myopic policies
Keskin, N Bora, Assaf Zeevi. 2014 · 2014
Cited alongside, same era.
Close the gaps: A learning-while-doing algorithm for single-product revenue management problems
Wang, Zizhuo, Shiming Deng, Yinyu Ye. 2014 · 2014
Cited alongside, same era.
Dynamic pricing and learning: historical origins, current research, and new directions
Den Boer, Arnoud V. 2015 · 2015
Cited alongside, same era.
When algorithms discriminate
Miller, Claire Cain. 2015 · 2015
Cited alongside, same era.
Dynamic pricing with fairness constraints, Preprint, submitted September 28,
Cohen, Maxime C, Sentao Miao, Yining Wang. 2021 · 2021
Later among the works it cites.
Fairness, welfare, and equity in personalized pricing
Kallus, Nathan, Angela Zhou. 2021 · 2021
Later among the works it cites.
Network revenue management with nonparametric demand learning:
Miao, Sentao, Yining Wang. 2021 · 2021
Later among the works it cites.
A general framework for resource constrained revenue management with demand learning and large action space, Preprint, submitted May 10,
Miao, Sentao, Yining Wang, Jiawei Zhang. 2021 · 2021
Later among the works it cites.
Online pricing with offline data: Phase transition and inverse square law
Bu, Jinzhi, David Simchi-Levi, Yunzong Xu. 2022 · 2022
Closest in time.
Price discrimination with fairness constraints
Cohen, Maxime C, Adam N Elmachtoub, Xiao Lei. 2022 · 2022
Closest in time.
Constant regret resolving heuristics for price-based revenue management
Wang, Yining, He Wang. 2022 · 2022
Closest in time.
Routing for fairness and efficiency in a queueing model with reentry and continuous customer classes
Zhang, Zhiqiang, Pengyi Shi, Amy R. Ward. 2022 · 2022
Closest in time.
The best of many worlds: Dual mirror descent for online allocation problems
Balseiro, Santiago R, Haihao Lu, Vahab Mirrokni. 2023 · 2023
Closest in time.
Network revenue management with online inverse batch gradient descent method
Chen, Yiwei, Cong Shi. 2023 · 2023
Closest in time.
Nearly optimal competitive ratio for online allocation problems with two-sided resource constraints and finite requests
Zhang, Qixin, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yu Yang. 2023 · 2023
Closest in time.
The many faces of exponential weights in online learning
Hoeven, Dirk, Tim Erven, Wojciech Kotłowski. 2018 · 2092
Closest in time.