The AutoML Podcast

The AutoML Podcast

A show about the science and engineering behind AutoML.
How to solve dynamical systems by fusing data and mechanism
January 12, 202301:09:3647.83 MB

How to solve dynamical systems by fusing data and mechanism

Today we’re talking to Matt Levine. Matt is a PhD student in computing and mathematical sciences at Caltech, and he focuses on improving the prediction and inference of physical systems by blending together both mechanistic modeling and machine learning. This episode is one of my favorites: we go p...

DASH: How to Search Over Convolutions
December 20, 202201:18:3053.93 MB

DASH: How to Search Over Convolutions

Today we’re chatting with Junhong Shen, a PhD student at Carnegie Mellon. Junhong and her team are working on the generalizability of NAS algorithms across a diverse set of tasks. Today we'll be talking about DASH, a NAS algorithm that takes diversity of tasks at its center. In order to implem...

Human-Centered AutoML: The New Paradigm
December 03, 202201:10:4248.58 MB

Human-Centered AutoML: The New Paradigm

Today we're speaking with Marius Lindauer and it is certainly one of my favorite episodes! As you’ll hear, Marius is full of ideas for where AutoML systems can and should go. These ideas are crystallized in a blog-post, published here: https://www.automl.org/rethinking-automl-advancing-from-a-...

BERT-Sort: How to use language models to semantically order categorical values
November 24, 202200:40:3727.92 MB

BERT-Sort: How to use language models to semantically order categorical values

Today Ankush Garg is talking to Mehdi Bahrami about his recent project: BERT-Sort. BERT-Sort is an example of how large language models can add useful context to tabular datasets, and to AutoML systems. Mehdi is a Member of Research Staff at Fujitsu and, as he describes, he began using AutoML syste...

SAT: The Peculiar Origins of AutoML
November 11, 202201:09:4247.89 MB

SAT: The Peculiar Origins of AutoML

In today's episode, we’re talking to Lars Kothoff about the fascinating origin story of AutoML (as he sees it), and how it emerged from the SAT community. While talking to many of you, it became clear that this origin story is one that a lot of people have some vague sense about, but not a ver...

How to use evolutionary strategies for online AutoML
October 17, 202201:01:1642.09 MB

How to use evolutionary strategies for online AutoML

Today we’re talking to Cedric Kulbach about online learning, the challenges of doing it properly, why it is so promising, how it’s connected to evolutionary strategies, and recent advances in the field that can help to unlock these promises. We then discuss the close connection between online learn...