8 citations · 11 across the 3 of their papers we have counts for
5 papers
Learning the Optimal Recommendation from Explorative Users
Fan Yao, Chuanhao Li, Denis Nekipelov +2
We propose a new problem setting to study the sequential interactions between a recommender system and a user. Instead of assuming the user is omniscient, static, and explicit, as…
Dashboard Mechanisms for Online Marketplaces
Jason Hartline, Aleck Johnsen, Denis Nekipelov +1
This paper gives a theoretical model for design and analysis of mechanisms for online marketplaces where a bidding dashboard enables the bid-optimization of long-lived agents. We a…
Inference from Auction Prices
Jason Hartline, Aleck Johnsen, Denis Nekipelov +1
Econometric inference allows an analyst to back out the values of agents in a mechanism from the rules of the mechanism and bids of the agents. This paper gives an algorithm to sol…
Learning and Trust in Auction Markets
Pooya Jalaly, Denis Nekipelov, Eva Tardos
In this paper, we study behavior of bidders in an experimental launch of a new advertising auction platform by Zillow, as Zillow switched from negotiated contracts to using auction…
Econometrics for Learning Agents
Denis Nekipelov, Vasilis Syrgkanis, Eva Tardos
The main goal of this paper is to develop a theory of inference of player valuations from observed data in the generalized second price auction without relying on the Nash equilibr…