Learning Theory, Missing Data, Generation
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)
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)
Check them out at languagegeneration.github.io
Recorded sessions coming – meanwhile also check out Jon's invited talk at ICML – icml.cc/virtual/2025... !
Check them out at languagegeneration.github.io
Recorded sessions coming – meanwhile also check out Jon's invited talk at ICML – icml.cc/virtual/2025... !
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
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
📅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
📅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
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!
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!
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...
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...
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
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
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
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.
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.
Link: www.youtube.com/watch?v=zlyr...
Link: www.youtube.com/watch?v=zlyr...
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)
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)
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...
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...
Registration is free! (but necessary by April 7)
Registration is free! (but necessary by April 7)
sites.google.com/view/nyctheo...
Registration is free, but please register for building access.
See you all there!
sites.google.com/view/nyctheo...
Registration is free, but please register for building access.
See you all there!
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)
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)
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.
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.
Pessimist: The cup is half empty
LaTeX user: The whole spacing and size are wrong, you should have been using \bigcup
Pessimist: The cup is half empty
STS researcher: The cup is an affordance
Pessimist: The cup is half empty
Cosmologist: The cup is dusty or full of gravitational waves
Pessimist: The cup is half empty
LaTeX user: The whole spacing and size are wrong, you should have been using \bigcup
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...
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...