Robust revenue maximization under minimal statistical information
Y Giannakopoulos, D Po�as…�- ACM Transactions on�…, 2023 - dl.acm.org
… In this section, we begin our study of robust revenue maximization by looking at the
simplest case: one item and deterministic pricing rules. Note that Azar and Micali [4] already …
simplest case: one item and deterministic pricing rules. Note that Azar and Micali [4] already …
Robust Revenue Maximization Under Minimal Statistical Information
A Tsigonias-Dimitriadis�- Web and Internet Economics LNCS 12495 - Springer
… In this section we begin our study of robust revenue maximization by looking at the simplest
case: one item and deterministic pricing rules. Note that [3] already established a lower …
case: one item and deterministic pricing rules. Note that [3] already established a lower …
[CITATION][C] Robust Revenue Maximization Under Minimal Statistical Information
D PO�AS, A TSIGONIAS-DIMITRIADIS - 2022
Efficient empirical revenue maximization in single-parameter auction environments
YA Gonczarowski, N Nisan�- Proceedings of the 49th Annual ACM�…, 2017 - dl.acm.org
… case the empirical-revenue-maximizing auction may perform … maximize the empirical
revenue, in a way that is robust against … In particular, we note that the minimal winning bid of any …
revenue, in a way that is robust against … In particular, we note that the minimal winning bid of any …
Statistical Mechanism Design: Robust Pricing, Estimation, and Inference
D Gon�alves, BA Furtado�- arXiv preprint arXiv:2405.17178, 2024 - arxiv.org
… data-driven perspective on robust mechanism design holds promise for the broader study
of mechanism design under … We stress the minimal informational assumptions made. In …
of mechanism design under … We stress the minimal informational assumptions made. In …
Recent advances in robust optimization: An overview
… – such as the Sortino ratio and the Omega Statistic – are all equivalent to the ordinary Sharpe
… The authors test the robust strategies on real market data and discuss performance of the …
… The authors test the robust strategies on real market data and discuss performance of the …
Data-driven frequency-based airline profit maximization
… data items of the cluster to which it belongs, and b(e) is the minimum average distance
between e and the data … In the following, we will test the robustness of MAP (ie, when the …
between e and the data … In the following, we will test the robustness of MAP (ie, when the …
Data-driven robust network revenue management
T Zhang - 2023 - theses.lib.polyu.edu.hk
… on data-driven distributionally robust controls for the quantity-based network revenue
management … For each marginal hypothesis, we apply a certain GoF test with the test statistic SN …
management … For each marginal hypothesis, we apply a certain GoF test with the test statistic SN …
Simulation-based robust revenue maximization of coal mines using Response Surface Methodology
S Nageshwaraniyergopalakrishnan - 2014 - search.proquest.com
… the metamodel in a robust manner (ie obtaining optimum value with minimum variance). …
that is used in mine data warehouse instead of default statistics outputs from simulation software…
that is used in mine data warehouse instead of default statistics outputs from simulation software…
Revenue maximization in resource allocation: Applications in wireless communication networks
N Casimiro Ericsson - 2004 - diva-portal.org
… The data loss statistics are only introduced indirectly, through … protocol for flexible and robust
forwarding of data, using relatively … This is a minimum level of service that the operator must …
forwarding of data, using relatively … This is a minimum level of service that the operator must …