30 citations · 75 across the 31 of their papers we have counts for
4 papers · 1 filter
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…
Balanced Allocation with Random Walk Based Sampling
Dengwang Tang, Vijay G. Subramanian
In the standard ball-in-bins experiment, a well-known scheme is to sample bins independently and uniformly at random and put the ball into the least loaded bin. It can be shown…
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…
Personalized PageRank dimensionality and algorithmic implications
Daniel Vial, Vijay Subramanian
Many systems, including the Internet, social networks, and the power grid, can be represented as graphs. When analyzing graphs, it is often useful to compute scores describing the…