2 citations · 3 across the 6 of their papers we have counts for
9 papers · 1 filter
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…
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…
Mechanism Design via the Interim Relaxation
Kshipra Bhawalkar, Marios Mertzanidis, Divyarthi Mohan +1
We study revenue maximization for agents with additive preferences, subject to downward-closed constraints on the set of feasible allocations. In seminal work, Alaei~\cite{alaei201…
Optimal Stopping with Interdependent Values
Simon Mauras, Divyarthi Mohan, Rebecca Reiffenhäuser
We study online selection problems in both the prophet and secretary settings, when arriving agents have interdependent values. In the interdependent values model, introduced in th…
Private Interdependent Valuations: New Bounds for Single-Item Auctions and Matroids
Alon Eden, Michal Feldman, Simon Mauras +1
We study auction design within the widely acclaimed model of interdependent values, introduced by Milgrom and Weber [1982]. In this model, every bidder has a private signal $s_…
Constant Approximation for Private Interdependent Valuations
Alon Eden, Michal Feldman, Kira Goldner +2
The celebrated model of auctions with interdependent valuations, introduced by Milgrom and Weber in 1982, has been studied almost exclusively under private signals $s_1, \ldots, s_…