Sebastien Bubeck's guest appearances

Sebastien Bubeck

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Microsoft Research Podcast

Chris White

Max Welling

Peter Lee

Peyton Jones

Kevin Scott

Amos Miller

Brad Smith

Nathalie Riche

Ben Zorn

Layla El Asri

Desmond Patton

Mark Hamilton

Jennifer Chayes

Andy Gordon

David Rothschild

OwlTail

Dr. Sebastien Bubeck is a mathematician and a senior researcher in the Machine Learning and Optimization group at Microsoft Research. He’s also a self-proclaimed “bandit” who claims that, despite all the buzz around AI, it’s still a science in its infancy. That’s why he’s devoted his career to advancing the mathematical foundations behind the machine learning algorithms behind AI. Today, Dr. Bubeck explains the difficulty of the multi-armed bandit problem in the context of a parameter- and data-rich online world. He also discusses a host of topics from randomness and convex optimization to metrical task systems and log n competitiveness to the surprising connection between Gaussian kernels and what he calls some of the most beautiful objects in mathematics.

<p>Dr. Sebastien Bubeck is a mathematician and a senior researcher in the Machine Learning and Optimization group at Microsoft Research. He’s also a self-proclaimed “bandit” who claims that, despite all the buzz around AI, it’s still a science in its infancy. That’s why he’s devoted his career to advancing the mathematical foundations behind the machine learning algorithms behind AI.</p> <p>Today, Dr. Bubeck explains the difficulty of the multi-armed bandit problem in the context of a parameter- and data-rich online world. He also discusses a host of topics from randomness and convex optimization to metrical task systems and log n competitiveness to the surprising connection between Gaussian kernels and what he calls some of the most beautiful objects in mathematics.</p>

053 - Chasing convex bodies and other random topics with Dr. Sebastien Bubeck