269 citations · 337 across the 21 of their papers we have counts for
4 papers · 1 filter
Maximizing revenue in the presence of intermediaries
Gagan Aggarwal, Kshipra Bhawalkar, Guru Guruganesh +1
We study the mechanism design problem of selling items to unit-demand buyers with private valuations for the items. A buyer either participates directly in the auction or is re…
Margin-Independent Online Multiclass Learning via Convex Geometry
Guru Guruganesh, Allen Liu, Jon Schneider +1
We consider the problem of multi-class classification, where a stream of adversarially chosen queries arrive and must be assigned a label online. Unlike traditional bounds which se…
Learning to Bid in Contextual First Price Auctions
Ashwinkumar Badanidiyuru, Zhe Feng, Guru Guruganesh
In this paper, we investigate the problem about how to bid in repeated contextual first price auctions. We consider a single bidder (learner) who repeatedly bids in the first price…
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms
Sreenivas Gollapudi, Guru Guruganesh, Kostas Kollias +3
We consider the following variant of contextual linear bandits motivated by routing applications in navigational engines and recommendation systems. We wish to learn a hidden -d…