The Academics Behind AI feat. Copilot

In a special audio and video episode of The People of Programmatic Podcast, we hear from five Copilot crew members about the academic research, review, and writing that goes on behind the scenes as part of their ongoing efforts to stay on the leading edge of AI technology in digital media.

The discussion also covers the team’s experiences in data science, data visualization, and organizing journal clubs, as well as which modern examples of AI in action have inspired them.

To date, the Copilot team has published three journals:

1. Dynamic Bidding Strategies with Multivariate Feedback Control for Multiple Goals in Display Advertising by Michael Tashman, Jiayi Xie, John Hoffman, Lee Winikor, Rouzbeh Gerami
   1. https://arxiv.org/abs/2007.00426
2. Online and Scalable Model Selection with Multi-Armed Bandit by Jiayi Xie, Michael Tashman, John Hoffman, Lee Winikor, Rouzbeh Gerami
   1. https://arxiv.org/abs/2105.10587
3. Techniques Toward Optimizing Viewability in RTB Ad Campaigns Using Reinforcement Learning by Michael Tashman, Jiayi Xie, John Hoffman, Lee Winikor, Rouzbeh Gerami, Atefeh Morsali, and Fengdan Ye
   1. https://arxiv.org/abs/2105.10587

And they hold one patent titled “Double Blind Learning Insight Interface Apparatus, Methods and Systems” which describes the unique new way that the Copilot Insights platform delivers real-time updates and insights through a user-friendly interface guided by machine learning.

https://patents.google.com/patent/US20180307653A1/en

Watch the video version here.

Featured in this episode:

• Jiayi Xie, Senior Data Scientist
• Rouzbeh Gerami, Head of Data Science
• Sambhav Jain, Senior Designer, Data Visualization
• Katherine Mello, Software Engineer, Visualizations
• Kelly Mergenthaler, Senior Product Marketing Manager