1 citations · 1 across the 6 of their papers we have counts for
6 papers
Stay or Stray - A Dynamical Systems Viewpoint of Popularity Bias
Sarvesh Shashidhar, Lankireddy Prabhat, Arpit Agarwal +3
Popularity bias in recommendation systems arises when a majority user class generates disproportionate interaction data, causing the system to increasingly favour it while degradin…
Blotto on the Ballot: A Ballot Stuffing Blotto Game
Harsh Shah, Jayakrishnan Nair, D Manjunath +1
We consider the following Colonel Blotto game between parties and deploys a non negative number of troops across battlefields, while chooses $K <…
Influence of Recommender Systems on Users: A Dynamical Systems Analysis
Prabhat Lankireddy, Jayakrishnan Nair, D Manjunath
We analyze the unintended effects that recommender systems have on the preferences of users that they are learning. We consider a contextual multi-armed bandit recommendation algor…
Content Provider Contributions to Capacity Expansion of a Neutral ISP: Effect of Private Option
Pranay Agarwal, D. Manjunath
Increasing content consumption by users and the expectation of a better Internet experience requires Internet service providers (ISPs) to expand the capacity of the access network…
Influencing Bandits: Arm Selection for Preference Shaping
Viraj Nadkarni, D. Manjunath, Sharayu Moharir
We consider a non stationary multi-armed bandit in which the population preferences are positively and negatively reinforced by the observed rewards. The objective of the algorithm…
Network Flows for Functions
Virag Shah, Bikash Kumar Dey, D. Manjunath
We consider in-network computation of an arbitrary function over an arbitrary communication network. A network with capacity constraints on the links is given. Some nodes in the ne…