2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2021
Techniques Toward Optimizing Viewability in RTB Ad Campaigns Using Reinforcement Learning
Michael Tashman, John Hoffman, Jiayi Xie +4
Reinforcement learning (RL) is an effective technique for training decision-making agents through interactions with their environment. The advent of deep learning has been associat…
cs.LG2021★ 1 cited
Online and Scalable Model Selection with Multi-Armed Bandits
Jiayi Xie, Michael Tashman, John Hoffman +2
Many online applications running on live traffic are powered by machine learning models, for which training, validation, and hyper-parameter tuning are conducted on historical data…
cs.GT2020★ 2 cited
Dynamic Bidding Strategies with Multivariate Feedback Control for Multiple Goals in Display Advertising
Michael Tashman, Jiayi Xie, John Hoffman +2
Real-Time Bidding (RTB) display advertising is a method for purchasing display advertising inventory in auctions that occur within milliseconds. The performance of RTB campaigns is…