Metric Elicitation and Robust Distributed Learning with Sanmi Koyejo - #352

2020-02-27 · 56 min · episode 352 · 13 entities

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→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast

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evidence rules-v4
Metric Elicitation and Robust Distributed Learning with Sanmi Koyejo - #352
→ hosted by Sam Charrington person

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evidence rules-v4
Feed author/publisher: Sam Charrington
→ discusses Science concept

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evidence rules-v4
Feed category: Science
→ discusses Technology company

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evidence rules-v4
Feed category: Technology
→ discusses News concept

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evidence rules-v4
Feed category: News
→ discusses Tech News concept

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evidence rules-v4
Feed category: Tech News
→ hosted by TWIML company

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evidence rules-v4
Feed author/publisher: TWIML

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concepts 5

mentioned Science concept

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evidence rules-v4
Feed category: Science
mentioned Tech News concept

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evidence rules-v4
Feed category: Tech News
discusses Science concept

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evidence rules-v4
Feed category: Science
discusses News concept

0.40

evidence rules-v4
Feed category: News
discusses Tech News concept

0.40

evidence rules-v4
Feed category: Tech News

companys 4

mentioned TWIML company

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evidence rules-v4
Feed author/publisher: TWIML
mentioned Technology company

0.50

evidence rules-v4
Feed category: Technology
discusses Technology company

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evidence rules-v4
Feed category: Technology
hosted by TWIML company

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evidence rules-v4
Feed author/publisher: TWIML

persons 3

mentioned Sanmi Koyejo person

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evidence rules-v4
Metric Elicitation and Robust Distributed Learning with Sanmi Koyejo - #352
mentioned Sam Charrington person

0.70

evidence rules-v4
Feed author/publisher: Sam Charrington
hosted by Sam Charrington person

0.55

evidence rules-v4
Feed author/publisher: Sam Charrington

podcasts 1

appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast

0.68

evidence rules-v4
Metric Elicitation and Robust Distributed Learning with Sanmi Koyejo - #352

Episode description as stored

The unfortunate reality is that many of the most commonly used machine learning metrics don't account for the complex trade-offs that come with real-world decision making. This is one of the challenges that Sanmi Koyejo, assistant professor at the University of Illinois, has dedicated his research to address. Sanmi applies his background in cognitive science, probabilistic modeling, and Bayesian inference to pursue his research which focuses broadly on “adaptive and robust machine learning.”