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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Personalization for Text-to-Image Generative AI with Nataniel Ruiz - #648

Personalization for Text-to-Image Generative AI with Nataniel Ruiz - #648

Today we’re joined by Nataniel Ruiz, a research scientist at Google. In our conversation with Nataniel, we discuss his recent work around personalization for text-to-image AI models. Specifically, we ...

25 Sep 202344min

Ensuring LLM Safety for Production Applications with Shreya Rajpal - #647

Ensuring LLM Safety for Production Applications with Shreya Rajpal - #647

Today we’re joined by Shreya Rajpal, founder and CEO of Guardrails AI. In our conversation with Shreya, we discuss ensuring the safety and reliability of language models for production applications. W...

18 Sep 202340min

What’s Next in LLM Reasoning? with Roland Memisevic - #646

What’s Next in LLM Reasoning? with Roland Memisevic - #646

Today we’re joined by Roland Memisevic, a senior director at Qualcomm AI Research. In our conversation with Roland, we discuss the significance of language in humanlike AI systems and the advantages a...

11 Sep 202359min

Is ChatGPT Getting Worse? with James Zou - #645

Is ChatGPT Getting Worse? with James Zou - #645

Today we’re joined by James Zou, an assistant professor at Stanford University. In our conversation with James, we explore the differences in ChatGPT’s behavior over the last few months. We discuss th...

4 Sep 202342min

Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - #644

Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - #644

Today we’re joined by Sophia Sanborn, a postdoctoral scholar at the University of California, Santa Barbara. In our conversation with Sophia, we explore the concept of universality between neural repr...

28 Aug 202345min

Inverse Reinforcement Learning Without RL with Gokul Swamy - #643

Inverse Reinforcement Learning Without RL with Gokul Swamy - #643

Today we’re joined by Gokul Swamy, a Ph.D. Student at the Robotics Institute at Carnegie Mellon University. In the final conversation of our ICML 2023 series, we sat down with Gokul to discuss his acc...

21 Aug 202333min

Explainable AI for Biology and Medicine with Su-In Lee - #642

Explainable AI for Biology and Medicine with Su-In Lee - #642

Today we’re joined by Su-In Lee, a professor at the Paul G. Allen School of Computer Science And Engineering at the University Of Washington. In our conversation, Su-In details her talk from the ICML ...

14 Aug 202338min

Transformers On Large-Scale Graphs with Bayan Bruss - #641

Transformers On Large-Scale Graphs with Bayan Bruss - #641

Today we’re joined by Bayan Bruss, Vice President of Applied ML Research at Capital One. In our conversation with Bayan, we covered a pair of papers his team presented at this year’s ICML conference. ...

7 Aug 202338min

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