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Our first meeting of 2018 will feature a talk by Austin Rochford, Principal Data Scientist at Monetate, PyMC3 developer, and brilliant Bayesian blogger. Austin will share his practical experience applying Bayesian bandits in industry.
Two Years of Bayesian Bandits for E-Commerce
At Monetate, we've deployed Bayesian bandits (both noncontextual and contextual) to help our clients optimize their e-commerce sites since early 2016. This talk is an overview of the lessons we've learned from both the processes of deploying real-time Bayesian machine learning systems at scale and building a data product on top of these systems that is accessible to non-technical users (marketers). This talk will cover
The place of multi-armed bandits in the A/B testing industry, Thompson sampling and the basic theory of Bayesian bandits, Bayesian approaches for accommodating nonstationarity in bandit feedback, User experience challenges in driving adoption of these technologies by nontechnical marketers. We will focus primarily on noncontextual bandits and give a brief overview of these problems in the contextual setting as time permits.
Austin Rochford is a Principal Data Scientist at Monetate. He is a founding member of Monetate Labs, where he does research and development for machine learning-driven marketing products. He is a recovering mathematician, a passionate Bayesian, and a PyMC3 developer. Blog at http://austinrochford.com/
7:00: Talk by Austin Rochford and Q&A
9:00: End of the event.
This event is sponsored by QuantumBlack (http://www.quantumblack.com), a McKinsey Company.
Note to all attendees:
Please register with your full name. Your ID and full name registration will be required at the front desk.