4 papers
Knowing Who, Not How Much: Learning-Augmented Mechanisms for Consumer Utility Maximization
Kira Goldner, Divyarthi Mohan, Thodoris Tsilivis
We study consumer utility maximization in an online random-order model where strategic agents arrive sequentially. To circumvent strong impossibility results for utility maximizati…
Asynchronous Majority Dynamics on Binomial Random Graphs
Divyarthi Mohan, Pawel Pralat
We study information aggregation in networks when agents interact to learn a binary state of the world. Initially each agent privately observes an independent signal which is "corr…
Online Combinatorial Allocation with Interdependent Values
Michal Feldman, Simon Mauras, Divyarthi Mohan +1
We study online combinatorial allocation problems in the secretary setting, under interdependent values. In the interdependent model, introduced by Milgrom and Weber (1982), each a…
A note on multiplicative-inverse chaining in finite fields
Divyarthi Mohan, R. Ravindraraj
We consider chaining multiplicative-inverse operations in finite fields under alternating polynomial bases. When using two distinct polynomial bases to alternate the inverse operat…