Causal Models in Practice at Lyft with Sean Taylor - #486

Causal Models in Practice at Lyft with Sean Taylor - #486

Today we’re joined by Sean Taylor, Staff Data Scientist at Lyft Rideshare Labs. We cover a lot of ground with Sean, starting with his recent decision to step away from his previous role as the lab director to take a more hands-on role, and what inspired that change. We also discuss his research at Rideshare Labs, where they take a more “moonshot” approach to solving the typical problems like forecasting and planning, marketplace experimentation, and decision making, and how his statistical approach manifests itself in his work. Finally, we spend quite a bit of time exploring the role of causality in the work at rideshare labs, including how systems like the aforementioned forecasting system are designed around causal models, if driving model development is more effective using business metrics, challenges associated with hierarchical modeling, and much much more. The complete show notes for this episode can be found at twimlai.com/go/486.

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Machine Learning for Earthquake Seismology with Karianne Bergen - #554

Machine Learning for Earthquake Seismology with Karianne Bergen - #554

Today we’re joined by Karianne Bergen, an assistant professor at Brown University. In our conversation with Karianne, we explore her work at the intersection of earthquake seismology and machine learn...

20 Jan 202235min

The New DBfication of ML/AI with Arun Kumar - #553

The New DBfication of ML/AI with Arun Kumar - #553

Today we’re joined by Arun Kumarm, an associate professor at UC San Diego. We had the pleasure of catching up with Arun prior to the Workshop on Databases and AI at NeurIPS 2021, where he delivered th...

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Building Public Interest Technology with Meredith Broussard - #552

Building Public Interest Technology with Meredith Broussard - #552

Today we’re joined by Meredith Broussard, an associate professor at NYU & research director at the NYU Alliance for Public Interest Technology. Meredith was a keynote speaker at the recent NeurIPS con...

13 Jan 202230min

A Universal Law of Robustness via Isoperimetry with Sebastien Bubeck - #551

A Universal Law of Robustness via Isoperimetry with Sebastien Bubeck - #551

Today we’re joined by Sebastian Bubeck a sr principal research manager at Microsoft, and author of the paper A Universal Law of Robustness via Isoperimetry, a NeurIPS 2021 Outstanding Paper Award reci...

10 Jan 202239min

Trends in NLP with John Bohannon - #550

Trends in NLP with John Bohannon - #550

Today we’re joined by friend of the show John Bohannon, the director of science at Primer AI, to help us showcase all of the great achievements and accomplishments in NLP in 2021! In our conversation,...

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Trends in Computer Vision with Georgia Gkioxari - #549

Trends in Computer Vision with Georgia Gkioxari - #549

Happy New Year! We’re excited to kick off 2022 joined by Georgia Gkioxari, a research scientist at Meta AI, to showcase the best advances in the field of computer vision over the past 12 months, and w...

3 Jan 202258min

Kids Run the Darndest Experiments: Causal Learning in Children with Alison Gopnik - #548

Kids Run the Darndest Experiments: Causal Learning in Children with Alison Gopnik - #548

Today we close out the 2021 NeurIPS series joined by Alison Gopnik, a professor at UC Berkeley and an invited speaker at the Causal Inference & Machine Learning: Why now? Workshop. In our conversation...

27 Dec 202136min

Hypergraphs, Simplicial Complexes and Graph Representations of Complex Systems with Tina Eliassi-Rad - #547

Hypergraphs, Simplicial Complexes and Graph Representations of Complex Systems with Tina Eliassi-Rad - #547

Today we continue our NeurIPS coverage joined by Tina Eliassi-Rad, a professor at Northeastern University, and an invited speaker at the I Still Can't Believe It's Not Better! Workshop. In our convers...

23 Dec 202135min

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