📣 Postdocs at Yale FDS! 📣 Tremendous freedom to work on data science problems with faculty across campus, multi-year, great salary. Deadline 12/15. Spread the word! Application: academicjobsonline.org/ajo/jobs/31114 More about Yale FDS: fds.yale.edu

💡🤖🔥 @keyonv.bsky.social's talk at metrics-and-models.github.io was brilliant, posing epistemic questions about what Artificial Intelligence "understands".

Next (two weeks): Alexander Vezhnevets talks about a new multi-actor generative agent based model. As usual, *all welcome* #datascience #css💡🤖🔥

💡🤖🔥The talk by Juan Carlos Perdomo at metrics-and-models.github.io was so thought provoking that the convenors stayed to discuss it in the room afterwards for quite some time!

Next, we have @keyonv.bsky.social asking: "What are AI's World Models?". Exciting times over here, all welcome!💡🤖🔥

Can an AI model predict perfectly and still have a terrible world model?

What would that even mean?

Our new ICML paper (poster tomorrow!) formalizes these questions.

One result tells the story: A transformer trained on 10M solar systems nails planetary orbits. But it botches gravitational laws 🧵

If we know someone’s career history, how well can we predict which jobs they’ll have next? Read our profile of @keyonv.bsky.social to learn how ML models can be used to predict workers’ career trajectories & better understand labor markets.

medium.com/@gsb_silab/k...

Foundation models make great predictions. How should we use them for estimation problems in social science?

New PNAS paper @susanathey.bsky.social & @keyonv.bsky.social & @Blei Lab:
Bad news: Good predictions ≠ good estimates.
Good news: Good estimates possible by fine-tuning models differently 🧵

*Please repost* @sjgreenwood.bsky.social and I just launched a new personalized feed (*please pin*) that we hope will become a "must use" for #academicsky. The feed shows posts about papers filtered by *your* follower network. It's become my default Bluesky experience bsky.app/profile/pape...

Happy to write this News & Views piece on the recent audit showing LLMs picking up "us versus them" biases: www.nature.com/articles/s43... (Read-only version: rdcu.be/d5ovo)

Check out the amazing (original) paper here: www.nature.com/articles/s43...

Applications open for the SICSS-ODISSEI summer school at Erasmus University. For PhD students, post-docs and early career researchers interested in computational social science. More info: odissei-data.nl/event/sicss-...

📢Announcing 1-day CHI 2025 workshop: Speech AI for All! We’ll discuss challenges & impacts of inclusive speech tech for people with speech diversities, connecting researchers, practitioners, policymakers, & community members. 🎉Apply to join us: speechai4all.org

At NeurIPS today through Sunday!

Today I'll be presenting our spotlight paper on evaluating LLM world models at the 4:30pm poster session (#2301).

On Saturday I'll be co-organizing the Behavioral ML workshop. Hope to see you there!

Paper: arxiv.org/abs/2406.03689
Workshop: behavioralml.org

I'm excited to use my first post here to introduce the first paper of my PhD, "User-item fairness tradeoffs in recommendations" (NeurIPS 2024)!

This is joint work with Sudalakshmee Chiniah and my advisor @nkgarg.bsky.social

Description/links below: 1/

I am very excited to share our new Neurips 2024 paper + package, Treeffuser! 🌳 We combine gradient-boosted trees with diffusion models for fast, flexible probabilistic predictions and well-calibrated uncertainty.

paper: arxiv.org/abs/2406.07658
repo: github.com/blei-lab/tre...

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Thank you Nature and @anilananth.bsky.social for this great feature on LLMs and AGI (and for highlighting our work arxiv.org/abs/2406.03689)

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