Exploiting the 'Web of Trust' to improve efficiency in collaborative networks - Shreyas Sekar; Patrick Maillé (CoRR, 2012)

Approximate Equilibrium and Incentivizing Social Coordination. - Elliot Anshelevich; Shreyas Sekar (AAAI, 2014)

Market price competition in networks: How do monopolies impact social welfare? - Elliot Anshelevich; Shreyas Sekar (CoRR, 2014)

Price Competition in Networked Markets: How Do Monopolies Impact Social Welfare? - Elliot Anshelevich; Shreyas Sekar (WINE, 2015)

Computing Stable Coalitions: Approximation Algorithms for Reward Sharing. - Elliot Anshelevich; Shreyas Sekar (WINE, 2015)

Blind, Greedy, and Random: Ordinal Approximation Algorithms for Graph Problems. - Elliot Anshelevich; Shreyas Sekar (CoRR, 2015)

Blind, Greedy, and Random: Algorithms for Matching and Clustering Using Only Ordinal Information. - Elliot Anshelevich; Shreyas Sekar (AAAI, 2016)

Pricing to Maximize Revenue and Welfare Simultaneously in Large Markets. - Elliot Anshelevich; Koushik Kar; Shreyas Sekar (WINE, 2016)

Truthful Mechanisms for Matching and Clustering in an Ordinal World. - Elliot Anshelevich; Shreyas Sekar (WINE, 2016)

Sketching with Test Scores and Submodular Maximization. - Shreyas Sekar; Milan Vojnovic; Se-Young Yun (CoRR, 2016)

Condorcet Consistent Bundling with Social Choice. - Shreyas Sekar; Sujoy Sikdar; Lirong Xia (AAMAS, 2017)

Posted Pricing sans Discrimination. - Shreyas Sekar (IJCAI, 2017)

Price Doubling and Item Halving: Robust Revenue Guarantees for Item Pricing. - Elliot Anshelevich; Shreyas Sekar (EC, 2017)

Balancing social utility with aggregator profit in electric vehicle charging. - Elliot Anshelevich; Koushik Kar; Shreyas Sekar; Zaid Bin Tariq (SmartGridComm, 2017)

Envy-Free Pricing in Large Markets: Approximating Revenue and Welfare. - Elliot Anshelevich; Koushik Kar; Shreyas Sekar (ACM Trans. Economics and Comput., 2017)

Non-discriminative algorithmic pricing: decentralized resource allocation in markets. - Shreyas Sekar (2017)

Uncertainty in Multi-Commodity Routing Networks: When does it help? - Shreyas Sekar; Liyuan Zheng; Lillian J. Ratliff; Baosen Zhang (ACC, 2018)

Risk-Averse Matchings over Uncertain Graph Databases. - Charalampos E. Tsourakakis; Shreyas Sekar; Johnson Lam; Liu Yang (ECML/PKDD (2), 2018)

Combinatorial Bandits for Incentivizing Agents with Dynamic Preferences. - Tanner Fiez; Shreyas Sekar; Liyuan Zheng; Lillian J. Ratliff (UAI, 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)

A Perspective on Incentive Design: Challenges and Opportunities. - Lillian J. Ratliff; Roy Dong; Shreyas Sekar; Tanner Fiez (Annu. Rev. Control. Robotics Auton. Syst., 2019)

Uncertainty in Multicommodity Routing Networks: When Does It Help? - Shreyas Sekar; Liyuan Zheng; Lillian J. Ratliff; Baosen Zhang (IEEE Trans. Autom. Control., 2020)

A Test Score-Based Approach to Stochastic Submodular Optimization. - Shreyas Sekar; Milan Vojnovic; Se-Young Yun (Manag. Sci., 2021)

Learning to Rank an Assortment of Products. - Kris Johnson Ferreira; Sunanda Parthasarathy; Shreyas Sekar (Manag. Sci., 2022)

A Capacity-Price Game for Uncertain Renewables Resources. - Pan Li 004; Shreyas Sekar; Baosen Zhang (IEEE Trans. Sustain. Comput., 2022)

Learning Product Rankings Robust to Fake Users. - Negin Golrezaei; Vahideh H. Manshadi; Jon Schneider; Shreyas Sekar (Oper. Res., 2023)

Technical Perspective: A Rare Glimpse of Tracking Fake Reviews. - Shreyas Sekar (Commun. ACM, 2023)

What Is Best for Students, Numerical Scores or Letter Grades? - Evi Micha; Shreyas Sekar; Nisarg Shah 001 (IJCAI, 2024)

Platform Disintermediation: Information Effects and Pricing Remedies. - Shreyas Sekar; Auyon Siddiq (EC, 2024)