Why can't you work better in teams?

You now excel at at least one thing

What's "thinking"? I feel like I used to know what it meant a long time ago.

This Wednesday! Don't forget to register!

Featuring Keynotes and Discussants (11:00am-1:00pm ET)
@djweitzner.bsky.social (MIT) with Kobbi Nissim (Georgetown),
Katrina Ligett (HUJI) with Talia Gillis (Columbia)

Registration: SIGecom Winter Meeting 2026 February 25, 2026 on Virtual Chair. Event website

Wrapping up with a Fireside Chat (4:15-4:45pm ET) with @jasonhartline.bsky.social (Northwestern) and Nicole Immorlica (Yale and MSR).

Plus lots of social events on Gather throughout the day!

Join us, but start by registering!

WINE tutorial on Differential Privacy for Strategic Information Sharing and Learning today at 2 pm EST, in person and on zoom, link: sites.google.com/pitt.edu/win... with @jubaz.bsky.social @papachristoumarios.bsky.social and @yuxin-pitt.bsky.social

The issue actually seems fixed on my end! Thanks again :)

Thank you!

I am also unable to submit recommendation letters, also getting a "permission denied"

TCS+ RSVP: Natalie Collina (2025/12/03) Title: Swap regret and correlated equilibria beyond normal-form games

📢 Our last TCS+ talk of the season will be Wed, Dec 3 (10am PT, 1pm ET, 19:00 CET): Natalie Collina (@ncollina.bsky.social), from UPenn, will tell us about "Swap regret and correlated equilibria beyond normal-form games"!

RSVP to receive the link (one day before the talk): forms.gle/utLgSxLpqvpx...

Hire Natalie right now! She's amazing

Congrats to @epsilonrational.bsky.social @ncollina.bsky.social @aaroth.bsky.social on being featured in quanta!

(Also do check out the paper, also involving Sampath Kannan and me that the piece is based on here: arxiv.org/abs/2409.03956)

TOC4Fairness Seminar – Lalitha Sankar Date: Monday, October 20th; 10:00 am – 11:00 am Pacific Time Location: Zoom meeting

Hi everyone,

The TOC4Fairness seminar series are restarted! Our next speaker, this *Monday* October 20th (1pm est, 10am est) is Lalitha Sankar from ASU.

More info about her talk here! toc4fairness.org/toc4fairness...

If you need the zoom link/mailing list access, please DM me

Hello, this is now accepted at Neurips 2025! Come check out our poster in December :)

Thanks to Yunzong Xu and Bhaskar Ray Chaudhuri for the invite!

Can't recommend the Allerton conference at UIUC enough! Went for the first time this year and really enjoyed the smaller scale, being able to talk to so many great researchers, the community, and the great talks! Definitely got quite a bit out of that and a million new ideas

Front cover: Differential Privacy in Artificial Intelligence: From Theory to Practice, now Publishers

New differential #privacy textbook in town: "DP in Artificial Intelligence: From Theory to Practice", by @nandofioretto.bsky.social and @vanhentenryck.bsky.social. Open access, w/ chapters by @jubaz.bsky.social, @grahamrc.bsky.social, and @stein.ke!

www.nowpublishers.com/article/Book...

It's also the tone of the PC. They keep changing the process mid-day, shortening the timeline for ACs, and instead of acknowledging this, blaming the ACs and sending repeatedly threatening emails for ha being one day late on a task that we had a half the original assigned time for

Check out our @let-all.com blog post on strategic classification and around recent work with Valia and @charapod.bsky.social!

The tl;dr is that balanced/fair algorithms do not necessarily comes at a cost. When you take incentives around data and network effects into account, fairness (here, through representativeness) can come at no cost.

And the paper that started it all: arxiv.org/abs/2501.19294

Excited to announce that I just got another NSF grant this week! This collaborative with Prof. Augustin Chaintreau at Columbia University.

More info here: www.nsf.gov/awardsearch/...

Pretty stoked to announce that I won't be presenting my paper at #FOCS2025: but one of my talented coauthors will have to come here 🌏 to do so!

"Instance-Optimal Uniformity Testing and Tracking," with Guy Blanc (Stanford) and Erik Waingarten (UPenn). (arXiv coming soon!)

The cointreau or the apricot? I found that every time I put cointreau in a cocktail, I should have used half.

How did it turn out

GitHub - krishnacharya/GLoSS: GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation - krishnacharya/GLoSS

1/8 Happy to share that our paper GLoSS: Generative Language Models with Semantic Search for
Sequential Recommendation is accepted at the KDD OARS workshop! 🎉
Paper, code: github.com/krishnachary...
This is joint work with my wonderful collaborators
@apetrov.bsky.social and @jubaz.bsky.social !

THREAD: Under a new law, thousands of prisoners in Louisiana have been cut off from ever getting a chance at parole.

Why?

Because an algorithm said so. 1/

Hello, I'm off Twitter forever! This is the main place to find me now :)

Hi everyone!

First, wanted to let you all know that the amazing @charapod.bsky.social is on Bluesky! Please make sure to follow her :)

Second, she wrote a really cool survey about the state of strategic classification that you should definitely read: www.sigecom.org/exchanges/vo...

With this work, we aim to add nuance to the discourse that decentralization on its own may not be the solution---rather, centralized decision-making should be more fine-grained to go beyond naive metrics, and understanding diversity of backgrounds/signals that make up qualified candidates.

This creates unfairness where *equally qualified* candidates are treated disparately based on, for example, how recognizable their alma matter is.