3 citations · 4 across the 3 of their papers we have counts for
4 papers
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…
Submodular Maximization Through Barrier Functions
Ashwinkumar Badanidiyuru, Amin Karbasi, Ehsan Kazemi +1
In this paper, we introduce a novel technique for constrained submodular maximization, inspired by barrier functions in continuous optimization. This connection not only improves t…
Response Prediction for Low-Regret Agents
Saeed Alaei, Ashwinkumar Badanidiyuru, Mohammad Mahdian +1
Companies like Google and Microsoft run billions of auctions every day to sell advertising opportunities. Any change to the rules of these auctions can have a tremendous effect on…
Locally Adaptive Optimization: Adaptive Seeding for Monotone Submodular Functions
Ashwinkumar Badanidiyuru, Christos Papadimitriou, Aviad Rubinstein +2
The Adaptive Seeding problem is an algorithmic challenge motivated by influence maximization in social networks: One seeks to select among certain accessible nodes in a network, an…