The AutoML Podcast

The AutoML Podcast

A show about the science and engineering behind AutoML.
X Hacking: The Threat of Misguided AutoML
May 27, 202400:54:4837.65 MB

X Hacking: The Threat of Misguided AutoML

AutoML can be a tool for good, but there are pitfalls along the way. Rahul Sharma and David Selby tell us about how AutoML systems can be used to give us false impressions about explainability metrics of ML systems - maliciously, but also on accident. While this episode isn't talking about a new exc...

Introduction To New Co-Host, Theresa Eimer
May 27, 202400:13:579.61 MB

Introduction To New Co-Host, Theresa Eimer

In today's episode, we're introducing the very special Theresa Eimer to the show. Theresa will be taking over the hosting of many of the future episodes. Theresa has already recorded multiple episodes and we are stoked to air those shortly.We also spend a few moments explaining my relative absence i...

AutoGluon: The Story
September 05, 202303:13:18132.76 MB

AutoGluon: The Story

Today we're talking with Nick Erickson from AutoGluon.We discuss AutoGluon's fascinating origin story, its unique point of view, the science and engineering behind some of its unique contributions, Amazon's Machine Learning University, AutoGluon's multi-layer stack ensembler in all its detail, their...

How to Integrate Logic and Argumentation into Human-Centric AutoML
June 26, 202300:43:0929.66 MB

How to Integrate Logic and Argumentation into Human-Centric AutoML

Today we're talking with Joseph Giovanelli about his work on integrating logic and argumentation into AutoML systems.Joseph is a PhD student at the University of Bologna. He was more recently in Hannover working on ethics and fairness with Marius’ team.The paper he published presents his framework, ...

How to Design an AutoML System using Error Decomposition
June 04, 202300:28:5919.93 MB

How to Design an AutoML System using Error Decomposition

Today we're talking with Caitlin Owen, a post-doc at the University of Otago about her work on error decomposition.She recently published a paper titled "Towards Explainable AutoML Using Error Decomposition" about how a more granular view of the components of error can lead the construction of bette...

The Semantic Layer and AutoML
May 16, 202300:57:3739.59 MB

The Semantic Layer and AutoML

Today we're talking with Gaurav Rao, the EVP & GM of Machine Learning and AI at AtScale, a company centered around the semantic layer.For some time now, I've been feeling that there is a deep connection between a formal articulation of business context and the realization of the dream of AutoML,...