Kris Ferreira, Sunanda Parthasarathy, Shreyas Sekar
(2019).
Learning to Rank an Assortment of Products.
Major Revision, Special Issue of Management Science on Data-Driven Prescriptive Analytics. Preliminary version at the Revenue Management & Pricing Conference: Among 16 out of 80 papers selected for a spotlight presentation.
Pan Li, Shreyas Sekar, Baosen Zhang
(2019).
A Capacity-Price Game for Uncertain Renewables Resources.
Forthcoming, IEEE Transactions on Sustainable Computing. Preliminary version at the Proceedings of the 9th International Conference on Future Energy Systems (ACM e-Energy 2018) [finalist for best paper award].
Shreyas Sekar, Liyuan Zheng, Lillian J. Ratliff, Baosen Zhang
(2019).
Uncertainty in Multi-Commodity Routing Networks: When does it help?.
Forthcoming, IEEE Transactions on Automatic Control. Preliminary version at the Proceedings of the 2018 Annual American Control Conference (ACC).
Charalampos E. Tsourakakis, Shreyas Sekar, Johnson Lam, Liu Yang
(2018).
Risk-Averse Matchings over Uncertain Graph Databases.
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2018).
Elliot Anshelevich, Shreyas Sekar
(2018).
An Ordinal Approach to Approximation Algorithms.
Currently under review at the ACM Transactions on Algorithms (TALG) [supercedes AAAI 2016 and WINE 2016 papers on Ordinal Algorithms].
Shreyas Sekar
(2017).
Posted Pricing sans Discrimination.
Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017).
Elliot Anshelevich, Koushik Kar, Shreyas Sekar
(2017).
Envy-Free Pricing in Large Markets: Approximating Revenue and Welfare.
ACM Transactions on Economics and Computing Preliminary version at the Proceedings of the International Colloquium on Automata,Languages, and Programming (ICALP 2015).