Blei Lab

Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems.

[ML-NYC Speaker Series @MLNYCSeries]

Announcing our next talk with NYU Professor @_romain_lopez_: "Learning from Millions of Cells with Deep Generative Models"

Registration: https://t.co/1qjjitRmQz

[Blei Lab @blei_lab]

Hypothesis testing 🤝 mechanistic interpretability

[Claudia Shi @causalclaudia]

The circuit hypothesis proposes that LLM capabilities emerge from small subnetworks within the model. But how can we actually test this? 🤔

[Eli Weinstein @EliWeinstein6]

I am on the academic job market this year! My research advances probabilistic machine learning and its application to biology. I'm looking for faculty positions in stats/CS/applied math and in bio departments.

Academic website: https://t.co/h8e8D6gMjM

[Blei Lab @blei_lab]

Check out our new paper using hierarchical causal models and representation learning to estimate the effects of immune proteins

[Eli Weinstein @EliWeinstein6]

I'm thrilled to present a new paper with @blei_lab and @lizbwood about estimating the causal effects of T cell receptors in humans. https://t.co/LK7bfK7nTc

[Blei Lab @blei_lab]

New paper from @blei_lab member @EliWeinstein6 on manufacturing samples from generative protein models. The idea is to approximate a complex distribution with simpler ones that are easy to sample from in the real world, using stochastic chemical reactions.https://t.co/HibW88U0bW

[Eli Weinstein @EliWeinstein6]

I’m thrilled to announce: at @jura_bio we’ve constructed a new kind of generative protein model, which allows us to manufacture its generated designs in the real world at petascale.
Paper: https://t.co/qgxfNPP30K
Blog: https://t.co/An1USoCNoz

[ML-NYC Speaker Series @MLNYCSeries]

Excited to announce that ML-NYC is back this semester. Our first speaker is Bin Yu from UC Berkeley on Monday Sept 23rd 4pm. Register here: https://t.co/lYMnKGLOFr

[ML-NYC Speaker Series @MLNYCSeries]

Excited to have Michael Kearns to be our next ML-NYC speaker on April 10th! https://t.co/AG9SeyiofX

[ML-NYC Speaker Series @MLNYCSeries]

Excited to host Shirley Ho as our next ML-NYC speaker!
https://t.co/g9K4mxIGze

[Eli Weinstein @EliWeinstein6]

I’m very excited about my new paper with @blei_lab : Hierarchical Causal Models
Preprint: https://t.co/RNCr450xIq
Talk: https://t.co/UuRguBMqhS

[ML-NYC Speaker Series @MLNYCSeries]

Excited to host Tamara Broderick as our next ML-NYC speaker! https://t.co/DLMiIfxGK9

[Blei Lab @blei_lab]

mike jordan walking around trieste and talking about AI
https://t.co/bDtsE6qL6B
a version in italian!
https://t.co/oi3cFW02dB

[ML-NYC Speaker Series @MLNYCSeries]

Excited to welcome Tom Griffiths @cocosci_lab as a our next ML-NYC speaker!
https://t.co/6S0xbAMFGU

[ML-NYC Speaker Series @MLNYCSeries]

We're excited to welcome Richard Zemel as our next speaker on Wednesday Oct 18th at 4pm!
https://t.co/ahrJuA5L9g

[Blei Lab @blei_lab]

Dave is giving two talks at Berkeley next week!
https://t.co/PrDjAeZYHv
https://t.co/SXsDV5PZFN

[ML-NYC Speaker Series @MLNYCSeries]

We're excited to welcome Daniel Lee as our next speaker on Wednesday September 20th at 4pm!

The event will be followed by a happy hour hosted by the Flatiron Institute

Register here: https://t.co/8rezytnBeo

[Keyon Vafa @keyonV]

Belated updates:

1- I defended my PhD in May! Big thank you to my committee and especially to my advisor, @blei_lab.

2- I'm excited to start a postdoc at Harvard! Very grateful to @harvard_data for the opportunity.

[Nino Scherrer @ninoscherrer]

How do LLMs from different organizations compare in morally ambiguous scenarios? Do LLMs exhibit common-sense reasoning in morally unambiguous scenarios?

📄 https://t.co/FfQyLGGwiq
👨‍👩‍👧‍👦 @causalclaudia @amirfeder @blei_lab @farairesearch

A thread: 🧵[1/N]

[Claudia Shi @causalclaudia]

Thrilled to share that the "Spurious Correlations, Invariance, and Stability" workshop is returning to @ICML2023 this year!

Submit your work (by May 23) on all things spurious correlations! See full CFP in

https://t.co/mHa5vs8q8h

[ML-NYC Speaker Series @MLNYCSeries]

We're excited to welcome Léon Bottou as our next speaker on Monday April 24 at 4pm!

Title: Pseudo-Euclidean Attract-Repel Embeddings for Undirected Graphs

Register here: https://t.co/w6KhDOj6mp

[Keyon Vafa @keyonV]

1/ I had the opportunity to join the @DataSkeptic podcast to discuss CAREER, a method that uses transfer learning to model career trajectories. This is a project I've been working on with @blei_lab and @Susan_Athey's group. Thank you for having me on!

https://t.co/K7h3GdRp20