🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Here are the first five sets of slides: 01 Introduction: psantanna.com/DiD/01_Introdu… 02 Classical 2x2 setup: psantanna.com/DiD/02_two_by_… 03 Clustering issues: psantanna.com/DiD/03_Cluster… 04 Functional form: psantanna.com/DiD/04_Functio… 05 Covariates: psantanna.com/DiD/05_Covaria…

Happy new year! Guest post on my blog by Abhradeep Thakurta, featuring his perspective on interviewing/hiring for faculty and industry research positions in CS/ML. I add some of my own comments at the end. Comments and perspectives welcome!

🚨 Internship alert🚨 The #causalinference research lab Spotify Research is hiring research scientist interns! Come help us push the state-of-the-art in causal machine learning and craft tools to improve actionable decision making. Apply at: jobs.lever.co/spotify/98a105…

Missed grad school app deadlines? Here's another shot! 🎯 I'm accepting applications for summer internships in my lab. 🔍 Research topics: - Hardware Vulnerability - Firmware Analysis - Open Source Vulnerability How to apply? Fill out this form: docs.google.com/forms/d/e/1FAI…

How Causal Inference and Reinforcement Learning are related.

Huge congrats to Elias Bareinboim, Sanghack Lee & Junzhe Zhang on this achievement! This paper not only connects causality & RL, but offers fresh insights into RL through a causal lens. This is a must-read paper that could serve as a foundational text for RL in causal inference!

writing a survey could be a lightweight alternative; the main reason I always recommend graduate students to start their journey by writing a survey

The Columbia AI Summit on March 4 gathered leading experts to discuss the evolution of AI and the potential challenges that may arise. The first session of the day, “New Frontiers of AI,” featured insights from our Engineering faculty on advancing AI toward human-like

I've recently put together a "Fairness FAQ": tinyurl.com/fairness-faq. If you work in non-fairness ML and you've heard about fairness, perhaps you've wondered things like what the best definitions of fairness are, and whether we can train algorithms that optimize for it.

About three weeks ago I gave a talk at Genentech, on "The Science of Cause and Effect, with a glimpse at Personalized Decision Making". I now have a video of the talk which I am happy to share: ucla.in/4jmj08c. I hope to see other drug-developing companies adopting

PhDone 🎓 I’ve successfully defended my thesis! Huge thanks to my amazing advisor Elias Bareinboim and committee—Jennifer Neville, Jin Tian, Yexiang Xue, and Iván Díaz. Grateful to collaborators, colleagues, lab mates, friends, neighbors—and above all, my wife, kid, and family!

🌟I'm excited to share that I’ll be joining the Department of Computer Science and Engineering / Graduate School of AI at POSTECH as an Assistant Professor, starting July 16, 2025. I feel incredibly grateful and humbled to work alongside brilliant colleagues and students.

next is Elias Bareinboim (Elias Bareinboim) from Columbia University, who will discuss in his keynote talk about the recent ✨ progress toward building causally intelligent AI systems ✨ full abstract 👉 auai.org/uai2025/keynot…

Hi all, if you're attending ICML (Vancouver) or UAI (Rio de Janeiro), I'm happy to share some news from the lab! Please check it out -- and feel free to drop by or shoot me a line if any of it sounds intriguing. 1/5 "Counterfactual Graphical Models: Constraints and Inference"

5/5 Last but definitely not least, I’m honored to be giving a keynote on Wednesday (7/23) titled "Towards Causal Artificial Intelligence." For details, see: auai.org/uai2025/keynot… Here’s a short abstract: While many AI scientists and engineers believe we are on the verge of