210 citations · 283 across the 20 of their papers we have counts for
4 papers · 1 filter
Auctioning with Strategically Reticent Bidders
Jibang Wu, Ashwinkumar Badanidiyuru, Haifeng Xu
We propose and study a novel mechanism design setup where each bidder holds two kinds of private information: (1) type variable, which can be misreported; (2) information variable,…
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…
Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization
Rad Niazadeh, Negin Golrezaei, Joshua Wang +2
Motivated by online decision-making in time-varying combinatorial environments, we study the problem of transforming offline algorithms to their online counterparts. We focus on of…
Handling many conversions per click in modeling delayed feedback
Ashwinkumar Badanidiyuru, Andrew Evdokimov, Vinodh Krishnan +3
Predicting the expected value or number of post-click conversions (purchases or other events) is a key task in performance-based digital advertising. In training a conversion optim…