5 papers
Advertising Media and Target Audience Optimization via High-dimensional Bandits
Wenjia Ba, J. Michael Harrison, Harikesh S. Nair
We present a data-driven algorithm that advertisers can use to automate their digital ad-campaigns at online publishers. The algorithm enables the advertiser to search across avail…
Auction Throttling and Causal Inference of Online Advertising Effects
George Gui, Harikesh Nair, Fengshi Niu
Causally identifying the effect of digital advertising is challenging, because experimentation is expensive, and observational data lacks random variation. This paper identifies a…
Blending Advertising with Organic Content in E-Commerce: A Virtual Bids Optimization Approach
Carlos Carrion, Zenan Wang, Harikesh Nair +8
In e-commerce platforms, sponsored and non-sponsored content are jointly displayed to users and both may interactively influence their engagement behavior. The former content helps…
Online Causal Inference for Advertising in Real-Time Bidding Auctions
Caio Waisman, Harikesh S. Nair, Carlos Carrion
Real-time bidding (RTB) systems, which utilize auctions to allocate user impressions to competing advertisers, continue to enjoy success in digital advertising. Assessing the effec…
Parallel Experimentation and Competitive Interference on Online Advertising Platforms
Caio Waisman, Navdeep S. Sahni, Harikesh S. Nair +1
This paper studies the measurement of advertising effects on online platforms when parallel experimentation occurs, that is, when multiple advertisers experiment concurrently. It p…