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Juba Ziani

@jubaz.bsky.social

Assistant professor at Georgia Tech in ISyE. I do mechanism design, differential privacy, fairness, and learning theory, mostly. Postdoc @Penn; Ph.D. @Caltech; MSc @Columbia and @Supélec. He/him.

95 Posts652 Follower471 Folgt
ACM SIGecom@acmsigecom.bsky.social · 6mo 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)

ACM SIGecom@acmsigecom.bsky.social · 6mo ago

What are YOU doing Feb 25? Because the 6th Annual SIGEcom Winter Meeting is free, virtual, 10:30am-5pm about CS, AI & Law. Register to participate! forms.gle/LVjX7TPk9kba... Organized by Rachel Cummings and @inbaltalgam.bsky.social!

Juba Ziani@jubaz.bsky.social · 10mo ago

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)

Algorithmic Collusion Without Threats

There has been substantial recent concern that pricing algorithms might learn to ``collude.'' Supra-competitive prices can emerge as a Nash equilibrium of repeated pricing games, in which sellers play...

arxiv.org

Natalie Collina@ncollina.bsky.social · 10mo ago

Our paper on algorithmic collusion was featured in a Quanta article! www.quantamagazine.org/the-game-the...

Juba Ziani@jubaz.bsky.social · 11mo ago

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

Clément Canonne@ccanonne.github.io · last yr.

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!)

Krishna Acharya@kvachai.bsky.social · last yr.

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 !

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

github.com

ProPublica@propublica.org · last yr.

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/

Juba Ziani@jubaz.bsky.social · last yr.

Now, onto a different one! Some recent cool work with Guanghui Wang, Krishna Acharya, Lokranjan Lakshmikanthan and Vidya Muthukumar. This one is about performative prediction/online strategic settings!

Juba Ziani@jubaz.bsky.social · last yr.

Hi everyone, I just wanted to say a few words on strategic classification with Valia Efthymiou, Chara Podimata, and Diptansghu Sen! See paper on arxiv here: arxiv.org/abs/2502.06749

Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty

We study strategic classification in binary decision-making settings where agents can modify their features in order to improve their classification outcomes. Importantly, our work considers the causa...

arxiv.org

Dan Roy@roydanroy.bsky.social · 2y ago

Getting some pushback. Right now, reviewing is an activity we do not even prioritize. We force people to do it, with no ~0 repercussions for doing a crappy job. No one gets tenure by reviewing well, or spending their time shooting down junk. Once we fix _that_, we will get useful peer review.