Our #NeurIPS2025 workshop “Reliable ML from Unreliable Data” schedule is live! 🎉 Talks, posters, and a panel all day, plus a best paper session (announcement coming soon 👀). Come hang out with us for the full program!

📣 Excited to announce the Reliable ML workshop at neuripsconf.bsky.social‬ 2025! How do we build trustworthy models under distribution shift, adversarial attacks, strategic behavior, and missing data? → Submission tracks: long (9 pg) and short (4 pg) → Deadline: Aug 22, 2025 (AOE)

Slides 🪧 from our language generation tutorial are now up! Check them out at languagegeneration.github.io Recorded sessions coming – meanwhile also check out Jon's invited talk at ICML – icml.cc/virtual/2025... !

If you are at COLT, join us for a tutorial on Language Generation on the first day! The tutorial dives into Kleinberg and Mullainathan’s “generation in the limit” framework and the exciting space of works building on it. 🕤 9:30 AM–12:00 PM | Room C 🔗 languagegeneration.github.io

📣Join us at COLT 2025 in Lyon for a community event! 📅When: Mon, June 30 | 16:00 CET What: Fireside chat w/ Peter Bartlett & Vitaly Feldman on communicating a research agenda, followed by mentorship roundtable to practice elevator pitches & mingle w/ COLT community! let-all.com/colt25.html

We are organizing a Language Generation tutorial @ #COLT 2025! Visit our website (languagegeneration.github.io/) for references and materials; content updated regularly, check back for the latest! Coorganizers: Moses Charikar, Chirag Pabbaraju, Charlotte Peale, Grigoris Velegkas See you in Lyon!

The tutorials, workshops, and community events for #COLT2025 have been announced! Exciting topics, and impressive slate of speakers and events, on June 30! The workshops have calls for contributions (⏰ May 16, 19, and 25): check them out! learningtheory.org/colt2025/ind...

@felix-zhou-cfz.bsky.social is giving two talks about this work at @uwaterloo.ca – one in the A&C seminar (May 14th), followed by a proof overview in the student seminar (May 15th)!

New paper w/ @felix-zhou-cfz.bsky.social & Alkis Kalavasis! Result: Vanilla SGD (w/ warm start) solves regression with unknown-index self-selection bias Our method speeds up earlier algorithms by Y. Cherapanamjeri, C. Daskalakis, @aifi.bsky.social, M. Zampetakis, J. Gaitonde, & E. Mossel

This looks exciting! arxiv.org/abs/2504.160... by Xi Chen, Shyamal Patel, and Rocco Servedio. An exp(k^1/3)-query adaptive algo for tolerant testing of k-juntas ("is a Boolean function on n variables close from depending on only k variables?"), via a connection to agnostic learning conjunctions.

Excellent talk by Jon Kleinberg at the institute for advanced studies on language generation—an exciting new area initiated by Jon and @sendhil.bsky.social, with contributors from many institutions (list below) Link: www.youtube.com/watch?v=zlyr...

"What makes a good fisherman as opposed to other professions?" This question can be formulated as a k-linear regression problem with self-selection bias. Alkis, @anaymehrotra.bsky.social, and I design faster local convergence algorithms for this problem: arxiv.org/abs/2504.07133 (1/7)

STOC Theory Fest in Prague June 23-27. Registration now open. Early deadline is May 6. acm-stoc.org/stoc202... You can apply for student support. Deadline April 27. acm-stoc.org/stoc202...

Taking a break from the submission season? Swing by the Workshop on Algorithms for Large Data (Online), WALDO 2025 🗓️ April 14—16: waldo-workshop.github.io/2025.html Registration is free! (but necessary by April 7)

I'm a fan of this post!

A reminder about NY Theory Day in a week! Fri Dec 6th! Talks by Amir Abboud, Sanjeev Khanna, Rotem Oshman, and Ron Rothblum! At NYU Tandon! sites.google.com/view/nyctheo... Registration is free, but please register for building access. See you all there!

We want language models that do not hallucinate We want language models that have breadth (i.e., no mode-collapse) Jon [email protected] asked: Can we get both? Alkis Kalavasis, Grigoris Velegkas, and I show this is impossible: arxiv.org/abs/2411.09642 🧵(1/3)

I wrote a Part IV postscript to my job market blog post to add what I've learned as faculty. TL;DR: No one is out to get you. For anything not going your way, it's probably due to people being busy or bureaucracy. And there are probably people working very hard for you behind the scenes regardless.

A list of all the stats/modeling/ML/data starter packs I've seen (26+ and counting):

Optimist: The cup is half full Pessimist: The cup is half empty LaTeX user: The whole spacing and size are wrong, you should have been using \bigcup

It's tough to gain visibility as a young researcher, and it's job market season! Are you a theoretical computer science PhD/postdoc on the job market? I don't have a crazy juge audience but I'll try to help a bit: fill this form, and I'll tweet your pitch and info! docs.google.com/forms/d/e/1F...