30 citations · 75 across the 31 of their papers we have counts for
10 papers · 1 filter
On the benefits of being constrained when receiving signals
Shih-Tang Su, David Kempe, Vijay G. Subramanian
We study a Bayesian persuasion setting in which the receiver is trying to match the (binary) state of the world. The sender's utility is partially aligned with the receiver's, in t…
Social Learning with Questions
Grant Schoenebeck, Shih-Tang Su, Vijay Subramanian
This work studies sequential social learning (also known as Bayesian observational learning), and how private communication can enable agents to avoid herding to the wrong action/s…
Incentive design for learning in user-recommendation systems with time-varying states
Deepanshu Vasal, Vijay Subramanian, Achilleas Anastasopoulos
We consider the problem of how strategic users with asymmetric information can learn an underlying time varying state in a user-recommendation system. Users who observe private sig…
Small-Scale Markets for Bilateral Resource Trading in the Sharing Economy
Bainan Xia, Srinivas Shakkottai, Vijay Subramanian
We consider a general small-scale market for agent-to-agent resource sharing, in which each agent could either be a server (seller) or a client (buyer) in each time period. In ever…
The Value of Sharing Intermittent Spectrum
Randall Berry, Michael Honig, Thanh Nguyen +2
Recent initiatives by regulatory agencies to increase spectrum resources available for broadband access include rules for sharing spectrum with high-priority incumbents. We study a…
A Descending Price Auction for Matching Markets
Shih-Tang Su, Jacob D. Abernethy, Grant Schoenebeck +1
This work presents a descending-price-auction algorithm to obtain the maximum market-clearing price vector (MCP) in unit-demand matching markets with m items by exploiting the comb…
Approximately Envy-Free Spectrum Allocation with Complementarities
Dengwang Tang, Vijay Subramanian
With spectrum auctions as our prime motivation, in this paper we analyze combinatorial auctions where agents' valuations exhibit complementarities. Assuming that the agents only va…
Incentivizing Sharing in Realtime D2D Streaming Networks: A Mean Field Game Perspective
Jian Li, Rajarshi Bhattacharyya, Suman Paul +2
We consider the problem of streaming live content to a cluster of co-located wireless devices that have both an expensive unicast base-station-to-device (B2D) interface, as well as…
Mean Field Games in Nudge Systems for Societal Networks
Jian Li, Bainan Xia, Xinbo Geng +4
We consider the general problem of resource sharing in societal networks, consisting of interconnected communication, transportation, energy and other networks important to the fun…
Searching and Bargaining with Middlemen
Thanh Nguyen, Vijay G. Subramanian, Randall A. Berry
We study decentralized markets with the presence of middlemen, modeled by a non-cooperative bargaining game in trading networks. Our goal is to investigate how the network structur…