Gautam Kamath
Gautam Kamath
@gautamkamath.com
Assistant Prof of CS at NYU Courant. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning. http://www.gautamkamath.com
4.5K followers343 following687 posts
Gautam Kamath reposted
OpenAI has claimed a refutation of the Exponential Time Hypothetis (ETH). Russell Impagliazzo, Mohan Paturi and Ryan Williams (@rrwilliams.bsky.social) have been asked to organize a community-led effort to evaluate this claim. More here: docs.google.com/document/d/1... h/t @gautamkamath.com
Gautam Kamath reposted
Gautam Kamath reposted
Gautam Kamath reposted
this is absolutely nuts.
How do you tell if authors fabricated their research results? Sometimes: they just tell you. Read, e.g., this caption carefully. Another banger of a post by my friend Nihar B. Shah on his blog, where he found at least 20+ such #ICLR2027 submissions: researchonresearch.blog/2026/10/20/s...
Gautam Kamath reposted
This is how you properly acknowledge that you used AI to write your paper.
How do you tell if authors fabricated their research results? Sometimes: they just tell you. Read, e.g., this caption carefully. Another banger of a post by my friend Nihar B. Shah on his blog, where he found at least 20+ such #ICLR2027 submissions: researchonresearch.blog/2026/10/20/s...
How do you tell if authors fabricated their research results? Sometimes: they just tell you. Read, e.g., this caption carefully. Another banger of a post by my friend Nihar B. Shah on his blog, where he found at least 20+ such #ICLR2027 submissions: researchonresearch.blog/2026/10/20/s...
Gautam Kamath reposted
Do you have high quality work on the foundations of responsible computing, writ large? This covers everything from work on differential privacy to algorithmic fairness to designing mechanisms and markets to AI alignment. (Submit to FORC!) 1/ responsiblecomputing.org/forc-2027-ca...
Gautam Kamath reposted
The #FORC2027 Call for Papers is up! Submit your best work on the foundations of responsible computing, including, e.g., privacy, robustness, fairness, and (for the first time!) safety and alignment! First deadline: November 11 Conf: June 2-4 at Stanford responsiblecomputing.org/forc-2027-ca...
Gautam Kamath reposted
Check out the 1st Workshop on Incentives and Contribution Evaluation (WICE 2027), one of the #SaTML2027 workshops! Trying to understand the following question in collaborative learning: is it worth it to participate? Submission deadline: December 18 wice-satml.github.io
Gautam Kamath reposted
New blog post: A.I.: Anti-Intellectualism togelius.blogspot.com/2026/10/ai-a...
And to be clear, there are others I have noticed, often working on less "glamorous" problems. That includes this paper by Ari Blondal, Hamed Hatami, Pooya @hatami.bsky.social, Chavdar Lalov, Sivan Tretiak. This is the way it should be done. arxiv.org/abs/2610.20657
And this one by @barnacs.bsky.social and Christopher Ye: arxiv.org/abs/2610.20297 Some have (privately) remarked that they find some of the papers in the original post upthread are not a substantial simplification, or remain imperfectly written. Even so, I applaud efforts in this direction.
Komlos: arxiv.org/abs/2609.20979 3SUM/APSP: eccc.weizmann.ac.il/report/2026/... This is in contrast to some other researchers who are churning out slop that they probably haven't read, much less understood.
As we are in an unprecedented stage of research, and no one knows what best to do, I felt it necessary to laud the behaviour that I would like to encourage. See also my comments re: simplification bsky.app/profile/gaut...
Most of the focus on AI for math has been on producing new results. But surprisingly little on finding simpler or more elegant arguments for old results? I would love for folks to clean up the literature using these newfound superpowers. 1/n
Gautam Kamath reposted
What is TMLR doing under a 300% increase in submissions? - Suspensions of >150 authors - Publicly naming major violations - Submission quotas distinguishing slop patterns - Desk rejections 6% → 53%; focus on clarity - AI reviews evaluating soundness blog.tmlr.org/2026/adaptin...
Gautam Kamath reposted
In a bid to tackle a rapid surge in submissions, #AI conferences and journals are introducing caps on the number of papers that a researcher is allowed to submit. My latest for @nature.com: www.nature.com/articles/d41... @gautamkamath.com
Gautam Kamath reposted
Gautam Kamath reposted
Over 400 researchers and I have signed this open letter calling for the AI and security communities to come together to improve alignment and containment approaches in order to protect our critical infrastructure and digital systems. ai-security-letter.org
#SaTML2027 has an incredible lineup of competitions and workshops. Check them out!
Announcing: the #SaTML2027 competitions and workshops! We have an amazing lineup of two competitions and four workshops. The workshops will be on May 3, ahead of the conference that runs May 3-6 in Reykjavik, Iceland. Read on to learn more about the competitions and workshops!
Gautam Kamath reposted
This focus is likely inherited from publication culture, where most of the glory goes to the first to get a result, simplifications are often not publishable (notable exceptions, e.g., Dinur's PCP theorem eatcs.org/index.php/co...). 2/n
Gautam Kamath reposted
Gautam Kamath reposted
Gautam Kamath reposted
Gautam Kamath reposted
TMLR now has a shiny new blog! By popular demand, the days of Medium are over. All the old posts are already ported, please check it out (and its beautiful colour scheme). Thanks to Managing Editor @paulvicol.bsky.social for setting it up! blog.tmlr.org
Excited to join the new NYU Courant Institute School of Mathematics, Computing, and Data Science (@nyucourant.bsky.social) as an assistant professor of CS ~2 weeks ago! WOW its already been v exciting for ML and math at Courant in particular! While fun I hope not ever week is like this!!!
Gautam Kamath reposted
Do authors understand their own papers? Our desk rejection rate at TMLR is about 53% while it was only 6% in 2023 To understand the situation and assess our process, Nihar asked authors about their own TMLR submissions Learn the findings of the pilot study & share your thought
TMLR has faced a deluge of submissions, necessitating stricter desk rejection policies due to limited reviewer capacity Co-EiC Nihar Shah reached out to authors of 10 papers slated for desk reject. Could they answer questions about their *own* submission? medium.com/@TmlrOrg/ask...
Nihar Shah did a heroic experiment for TMLR: he spent 20-25 hours over two weeks interviewing authors of seemingly low-quality submissions about their own papers. He confirmed what we all suspected: people submitting these papers have *no idea* what is going on in them.
TMLR has faced a deluge of submissions, necessitating stricter desk rejection policies due to limited reviewer capacity Co-EiC Nihar Shah reached out to authors of 10 papers slated for desk reject. Could they answer questions about their *own* submission? medium.com/@TmlrOrg/ask...
Gautam Kamath reposted
TMLR has faced a deluge of submissions, necessitating stricter desk rejection policies due to limited reviewer capacity Co-EiC Nihar Shah reached out to authors of 10 papers slated for desk reject. Could they answer questions about their *own* submission? medium.com/@TmlrOrg/ask...