Blei Lab (@blei_lab) 's Twitter Profile
Blei Lab

@blei_lab

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

ID: 875724629951819776

calendar_today16-06-2017 14:39:56

176 Tweet

4,4K Followers

90 Following

Golub Capital Social Impact Lab (@gsbsilab) 's Twitter Profile Photo

ChatGPT uses an LLM designed to predict sequences of words trained on a huge corpus of text. CAREER, a foundation model built on 23M resumes, uses similar architecture to predict job transitions, fine-tuned on gov’t surveys. Golub Capital Social Impact Lab and Blei Lab 1/2 arxiv.org/abs/2202.08370

Keyon Vafa (@keyonv) 's Twitter Profile Photo

1/ I had the opportunity to join the Data Skeptic 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! open.spotify.com/episode/7tZ032…

ML-NYC Speaker Series (@mlnycseries) 's Twitter Profile Photo

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: eventbrite.com/e/ml-nyc-speak…

Claudia Shi (@causalclaudia) 's Twitter Profile Photo

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 sites.google.com/view/scis-work…

Nino Scherrer (@ninoscherrer) 's Twitter Profile Photo

How do LLMs from different organizations compare in morally ambiguous scenarios? Do LLMs exhibit common-sense reasoning in morally unambiguous scenarios? 📄 arxiv.org/abs/2307.14324 👨‍👩‍👧‍👦 Claudia Shi @amirfeder Blei Lab FAR.AI A thread: 🧵[1/N]

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

đź“„ arxiv.org/abs/2307.14324
👨‍👩‍👧‍👦 <a href="/causalclaudia/">Claudia Shi</a> @amirfeder <a href="/blei_lab/">Blei Lab</a> <a href="/farairesearch/">FAR.AI</a>

A thread: đź§µ[1/N]
Keyon Vafa (@keyonv) 's Twitter Profile Photo

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 Science Initiative for the opportunity.

ML-NYC Speaker Series (@mlnycseries) 's Twitter Profile Photo

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: eventbrite.com/e/ml-nyc-speak…

Blei Lab (@blei_lab) 's Twitter Profile Photo

Dave is giving two talks at Berkeley next week! events.berkeley.edu/BIDS/event/205… climb.berkeley.edu/hierarchical-c…

Blei Lab (@blei_lab) 's Twitter Profile Photo

mike jordan walking around trieste and talking about AI youtu.be/3lXphIYfoBM a version in italian! youtu.be/-caiEVP4Sjo

Eli Weinstein (@eliweinstein6) 's Twitter Profile Photo

I’m very excited about my new paper with Blei Lab : Hierarchical Causal Models Preprint: arxiv.org/abs/2401.05330 Talk: youtube.com/watch?v=ovOVaN…

ML-NYC Speaker Series (@mlnycseries) 's Twitter Profile Photo

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: eventbrite.com/e/ml-nyc-speak…

Blei Lab (@blei_lab) 's Twitter Profile Photo

New paper from Blei Lab member Eli Weinstein 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.x.com/EliWeinstein6/…

Blei Lab (@blei_lab) 's Twitter Profile Photo

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

Eli Weinstein (@eliweinstein6) 's Twitter Profile Photo

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: eweinstein.github.io