High-Dimensional Robust Statistics with Ilias Diakonikolas - #351

High-Dimensional Robust Statistics with Ilias Diakonikolas - #351

Today we’re joined by Ilias Diakonikolas, faculty in the CS department at the University of Wisconsin-Madison, and author of the paper Distribution-Independent PAC Learning of Halfspaces with Massart Noise, recipient of the NeurIPS 2019 Outstanding Paper award. The paper is regarded as the first progress made around distribution-independent learning with noise since the 80s. In our conversation, we explore robustness in ML, problems with corrupt data in high-dimensional settings, and of course, the paper.

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Francisco Webber - Statistics vs Semantics for Natural Language Processing - TWiML Talk #10

Francisco Webber - Statistics vs Semantics for Natural Language Processing - TWiML Talk #10

My guest this time is Francisco Webber, founder and General Manager of artificial intelligence startup Cortical.io. Francisco presented at the O’Reilly AI conference on an approach to natural language...

3 Joulu 201649min

Pascale Fung - Emotional AI: Teaching Computers Empathy - TWiML Talk #9

Pascale Fung - Emotional AI: Teaching Computers Empathy - TWiML Talk #9

My guest this time is Pascale Fung, professor of electrical & computer engineering at Hong Kong University of Science and Technology. Pascale delivered a presentation at the recent O'Reilly AI confere...

8 Marras 201634min

Diogo Almeida - Deep Learning: Modular in Theory, Inflexible in Practice - TWiML Talk #8

Diogo Almeida - Deep Learning: Modular in Theory, Inflexible in Practice - TWiML Talk #8

My guest this time is Diogo Almeida, senior data scientist at healthcare startup Enlitic. Diogo and I met at the O'Reilly AI conference, where he delivered a great presentation on in-the-trenches deep...

23 Loka 201646min

Carlos Guestrin - Explaining the Predictions of Machine Learning Models - TWiML Talk #7

Carlos Guestrin - Explaining the Predictions of Machine Learning Models - TWiML Talk #7

My guest this time is Carlos Guestrin, the Amazon professor of Machine Learning at the University of Washington. Carlos and I recorded this podcast at a conference, shortly after Apple's acquisition o...

9 Loka 201631min

Angie Hugeback - Generating Training Data for Your ML Models - TWiML Talk #6

Angie Hugeback - Generating Training Data for Your ML Models - TWiML Talk #6

My guest this time is Angie Hugeback, who is principal data scientist at Spare5. Spare5 helps customers generate the high-quality labeled training datasets that are so crucial to developing accurate m...

29 Syys 20161h 1min

Joshua Bloom - Machine Learning for the Stars & Productizing AI - TWiML Talk #5

Joshua Bloom - Machine Learning for the Stars & Productizing AI - TWiML Talk #5

My guest this time is Joshua Bloom. Josh is professor of astronomy at the University of California, Berkeley and co-founder and Chief Technology Officer of machine learning startup Wise.io. In this wi...

22 Syys 20161h 28min

Charles Isbell - Interactive AI, Plus Improving ML Education - TWiML Talk #4

Charles Isbell - Interactive AI, Plus Improving ML Education - TWiML Talk #4

My guest this time is Charles Isbell, Jr., Professor and Senior Associate Dean in the College of Computing at Georgia Institute of Technology. Charles and I go back a bit… in fact he’s the first AI re...

10 Syys 20161h 4min

Xavier Amatriain - Engineering Practical Machine Learning Systems - TWiML Talk #3

Xavier Amatriain - Engineering Practical Machine Learning Systems - TWiML Talk #3

My guest this time is Xavier Amatriain. Xavier is a former researcher who went on to lead the machine learning recommendations team at Netflix, and is now the vice president of engineering at Quora, t...

28 Elo 201656min

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