Scholar

Emre Kıcıman

H-index: 33
Computer science 58%
Physics 10%
emrekiciman.bsky.social
Very true. In our causal tutorial slides we point at the edges in a DAG and say the edges we included aren’t the assumptions, the edges we deleted are the assumptions. (Never mind nodes!)

Having said that, LLMs are a useful tool for brainstorming what might be missing, complementing domain experts
epiellie.bsky.social
The dirty secret about causal inference is that the strongest assumptions are related to what you do not include. Unfortunately, it can be really hard to notice things that are not included.

Reposted by: Emre Kıcıman

epiellie.bsky.social
The dirty secret about causal inference is that the strongest assumptions are related to what you do not include. Unfortunately, it can be really hard to notice things that are not included.
aolteanu.bsky.social
We have to talk about rigor in AI work and what it should entail. The reality is that impoverished notions of rigor do not only lead to some one-off undesirable outcomes but can have a deeply formative impact on the scientific integrity and quality of both AI research and practice 1/
Print screen of the first page of a paper pre-print titled "Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor" by Olteanu et al.  Paper abstract: "In AI research and practice, rigor remains largely understood in terms of methodological rigor -- such as whether mathematical, statistical, or computational methods are correctly applied. We argue that this narrow conception of rigor has contributed to the concerns raised by the responsible AI community, including overblown claims about AI capabilities. Our position is that a broader conception of what rigorous AI research and practice should entail is needed. We believe such a conception -- in addition to a more expansive understanding of (1) methodological rigor -- should include aspects related to (2) what background knowledge informs what to work on (epistemic rigor); (3) how disciplinary, community, or personal norms, standards, or beliefs influence the work (normative rigor); (4) how clearly articulated the theoretical constructs under use are (conceptual rigor); (5) what is reported and how (reporting rigor); and (6) how well-supported the inferences from existing evidence are (interpretative rigor). In doing so, we also aim to provide useful language and a framework for much-needed dialogue about the AI community's work by researchers, policymakers, journalists, and other stakeholders."
standupforscience.bsky.social
HAPPY 75th, NSF!

We’re celebrating this milestone by highlighting some of NSF’s most transformative accomplishments—innovations that have shaped our world and continue to drive progress in health, technology, the environment, and beyond.

Read on 🧵(1/11):
A chocolate cake with red and white decorations and lit candles shaped as the number 75. Bold text reads: ‘The NSF Turns 75 Today. What has it done over the past 7 decades?’ The background is a celebratory red with a spray-paint texture.

Reposted by: Emre Kıcıman

msftresearch.bsky.social
In this issue: our CHI 2025 & ICLR 2025 contributions, plus research on causal reasoning & LLMs; countering LLM jailbreak attacks; and how people use AI vs. AI-alone. Also, SVP of Microsoft Health Jim Weinstein talks rural healthcare innovation: msft.it/6013SHuu1
sagan.bsky.social
Carl Sagan when asked, "Are you a Socialist?"
emrekiciman.bsky.social
Even more so when compared with the books left on the shelves.
emrekiciman.bsky.social
Gift idea: what do you get for the AI researcher who has everything? 👇
jadgardner.bsky.social
Are you tired of context-switching between coding models in @pytorch.org and paper writing on @overleaf.com?

Well, I’ve got the fix for you, Neuralatex! An ML library written in pure Latex!

neuralatex.com

To appear in Sigbovik (subject to rigorous review process)
Neuralatex: A machine learning library written in pure LATEX
Neuralatex: A machine learning library written in pure LATEX
neuralatex.com
emrekiciman.bsky.social
Looking fwd to discussing career paths next week at the Society of Causal Inference & Online Causal Inference Seminar's joint webinar:

Exploring Career Paths in Pharma, Government, and Technology
w/Gabriel Loewinger and Natalie Levy
Tue Apr 15, 11:30am-12:45pm ET
sci-info.org/online-events/
Online Events – SOCIETY FOR CAUSAL INFERENCE
sci-info.org

Reposted by: Emre Kıcıman

jadgardner.bsky.social
Are you tired of context-switching between coding models in @pytorch.org and paper writing on @overleaf.com?

Well, I’ve got the fix for you, Neuralatex! An ML library written in pure Latex!

neuralatex.com

To appear in Sigbovik (subject to rigorous review process)
Neuralatex: A machine learning library written in pure LATEX
Neuralatex: A machine learning library written in pure LATEX
neuralatex.com
emrekiciman.bsky.social
Sharing an announcement from the Society for Causal Inference annual meeting --- they are looking for student volunteers, in exchange for complimentary registration

More info: sci-info.org/annual-meeti...
Annual Meeting Volunteers – SOCIETY FOR CAUSAL INFERENCE
sci-info.org
emrekiciman.bsky.social
The abstract deadline for SIGIR's Industry Track is coming up in just a few days, with a final deadline of Feb 27.

Reposted by: Emre Kıcıman

paulbloomatyale.bsky.social
So I'm a big fan of Claude, and anyone can goof up, but this did make me laugh.

Reposted by: Emre Kıcıman

msftresearch.bsky.social
Since its launch two decades ago, Microsoft Research India produced extraordinary innovation in areas from health and education to agriculture and accessibility. Learn about the lab’s track record of technological advances: www.microsoft.com/en-us/resear...
Collage of images from Microsoft Research India.
jacasiegel.bsky.social
Happy International Day of Women in Science. The National Science Foundation’s list of flagged words includes both “Women” and “Female.”

Reposted by: Emre Kıcıman

jeffdean.bsky.social
We should not be allowing non-government employees to waltz in to government offices, and illegally get access to sensitive government and personal data, and get read and write access to critical software systems in multiple government agencies.

www.npr.org/2025/02/08/g...

Reposted by: Emre Kıcıman

jugander.bsky.social
Obama, speaking in October 2016: "Government will never run the way Silicon Valley runs because, by definition, democracy is messy. And part of government's job, by the way, is dealing with problems that nobody else wants to deal with." 1/6 youtu.be/BikQFWNYct4?...
White House Frontiers Conference
YouTube video by The Obama White House
youtu.be

Reposted by: Emre Kıcıman

mdudik.bsky.social
📣My team at Microsoft Research New York is hiring a senior researcher in AI, both broadly in AI/ML, and in some specific areas including science of deep learning and modular transfer learning.

Apply by February 7, 2025 on the link below.

jobs.careers.microsoft.com/global/en/jo...
Search Jobs | Microsoft Careers
jobs.careers.microsoft.com
emrekiciman.bsky.social
Hi Alex, you'll have to help me out. Are you commenting only on my word choice in the msg above or are you responding to the content in the perspective article? Thanks

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