Shreyas Sekar

According to our database, Shreyas Sekar authored at least 29 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Platform Disintermediation: Information Effects and Pricing Remedies.

Shreyas Sekar, Auyon Siddiq

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

What Is Best for Students, Numerical Scores or Letter Grades?

Evi Micha, Shreyas Sekar, Nisarg Shah

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Technical Perspective: A Rare Glimpse of Tracking Fake Reviews.

Shreyas Sekar

Commun. ACM, October, 2023

Learning Product Rankings Robust to Fake Users.

Negin Golrezaei, Vahideh H. Manshadi, Jon Schneider, Shreyas Sekar

Oper. Res., July, 2023

2022

A Capacity-Price Game for Uncertain Renewables Resources.

Pan Li, Shreyas Sekar, Baosen Zhang

IEEE Trans. Sustain. Comput., 2022

Learning to Rank an Assortment of Products.

Kris Johnson Ferreira, Sunanda Parthasarathy, Shreyas Sekar

Manag. Sci., 2022

2021

A Test Score-Based Approach to Stochastic Submodular Optimization.

Shreyas Sekar, Milan Vojnovic, Se-Young Yun

Manag. Sci., 2021

2020

Uncertainty in Multicommodity Routing Networks: When Does It Help?

Shreyas Sekar, Liyuan Zheng, Lillian J. Ratliff, Baosen Zhang

IEEE Trans. Autom. Control., 2020

2019

A Perspective on Incentive Design: Challenges and Opportunities.

Lillian J. Ratliff, Roy Dong, Shreyas Sekar, Tanner Fiez

Annu. Rev. Control. Robotics Auton. Syst., 2019

2018

Incentives in the Dark: Multi-armed Bandits for Evolving Users with Unknown Type.

Lillian J. Ratliff, Shreyas Sekar, Liyuan Zheng, Tanner Fiez

CoRR, 2018

Combinatorial Bandits for Incentivizing Agents with Dynamic Preferences.

Tanner Fiez, Shreyas Sekar, Liyuan Zheng, Lillian J. Ratliff

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Risk-Averse Matchings over Uncertain Graph Databases.

Charalampos E. Tsourakakis, Shreyas Sekar, Johnson Lam, Liu Yang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Uncertainty in Multi-Commodity Routing Networks: When does it help?

Shreyas Sekar, Liyuan Zheng, Lillian J. Ratliff, Baosen Zhang

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Non-discriminative algorithmic pricing: decentralized resource allocation in markets.

Shreyas Sekar

PhD thesis, 2017

Envy-Free Pricing in Large Markets: Approximating Revenue and Welfare.

Elliot Anshelevich, Koushik Kar, Shreyas Sekar

ACM Trans. Economics and Comput., 2017

Balancing social utility with aggregator profit in electric vehicle charging.

Elliot Anshelevich, Koushik Kar, Shreyas Sekar, Zaid Bin Tariq

Proceedings of the 2017 IEEE International Conference on Smart Grid Communications, 2017

Price Doubling and Item Halving: Robust Revenue Guarantees for Item Pricing.

Elliot Anshelevich, Shreyas Sekar

Proceedings of the 2017 ACM Conference on Economics and Computation, 2017

Posted Pricing sans Discrimination.

Shreyas Sekar

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Condorcet Consistent Bundling with Social Choice.

Shreyas Sekar, Sujoy Sikdar, Lirong Xia

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016

Sketching with Test Scores and Submodular Maximization.

Shreyas Sekar, Milan Vojnovic, Se-Young Yun

CoRR, 2016

Truthful Mechanisms for Matching and Clustering in an Ordinal World.

Elliot Anshelevich, Shreyas Sekar

Proceedings of the Web and Internet Economics - 12th International Conference, 2016

Pricing to Maximize Revenue and Welfare Simultaneously in Large Markets.

Elliot Anshelevich, Koushik Kar, Shreyas Sekar

Proceedings of the Web and Internet Economics - 12th International Conference, 2016

Blind, Greedy, and Random: Algorithms for Matching and Clustering Using Only Ordinal Information.

Elliot Anshelevich, Shreyas Sekar

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Blind, Greedy, and Random: Ordinal Approximation Algorithms for Graph Problems.

Elliot Anshelevich, Shreyas Sekar

CoRR, 2015

Computing Stable Coalitions: Approximation Algorithms for Reward Sharing.

Elliot Anshelevich, Shreyas Sekar

Proceedings of the Web and Internet Economics - 11th International Conference, 2015

Price Competition in Networked Markets: How Do Monopolies Impact Social Welfare?

Elliot Anshelevich, Shreyas Sekar

Proceedings of the Web and Internet Economics - 11th International Conference, 2015

2014

Market price competition in networks: How do monopolies impact social welfare?

Elliot Anshelevich, Shreyas Sekar

CoRR, 2014

Approximate Equilibrium and Incentivizing Social Coordination.

Elliot Anshelevich, Shreyas Sekar

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2012

Exploiting the 'Web of Trust' to improve efficiency in collaborative networks

Shreyas Sekar, Patrick Maillé

CoRR, 2012