Charlotte Peale

5th year phd student @stanford, working on multigroup fairness notions, machine learning theory, and uncertainty quantification.

[Anay Mehrotra @AnayMehrotra]

Tutorial recordings are live! 🎬

Check out all sessions from our Language Generation tutorial at #COLT2025 on the website.

Thanks @_cpeale for the recording + editing magic!

[Charlotte Peale @_cpeale]

@ang3linawang Congrats!!

[Siddartha Devic ✈️ COLM 2026 @sid_devic]

Check out our position paper on important directions in LLM uncertainty quantification!

[Anay Mehrotra @AnayMehrotra]

Slides 🪧 from our language generation tutorial are now up!

Check them out at https://t.co/d3Id1HVbfT

Recorded sessions coming – meanwhile check out Jon's invited talk at ICML – https://t.co/1jPs8L3vQy !

[Sílvia Casacuberta @SiCaPu]

If you are attending #EC2025 this week, today you can see @eminberker present our work on social choice functions that are robust against strategic nomination of candidates!

[Judy Shen @judyhshen]

Job seekers are using LLMs to boost their resumes. Are companies interviewing the best candidates ... or just the candidates using the best LLM? 🧐

Our new ICML paper presents a fair and accurate hiring algorithm under stochastic manipulations:
📄 https://t.co/HXNKVuex2x
🧵 1/5

[Charlotte Peale @_cpeale]

@aminkarbasi @AnayMehrotra Huge congrats @AnayMehrotra!!

[Charlotte Peale @_cpeale]

Come join us tomorrow at #COLT2025! 📍 Our tutorial on Language Generation covers the recently proposed "generation in the limit" framework of Kleinberg and Mullainathan and the exciting space of recent work building on it.

⏰ 9:30am - 12:00pm, Room C
🔗 https://t.co/OzpQ8Fv6Nf

[Charlotte Peale @_cpeale]

Interested in formal approaches to language generation? Join our #COLT2025 tutorial on "generation in the limit" (Kleinberg & Mullainathan, 2024) — a theoretical framework for analyzing the capabilities and limitations of generative models.

🔗 https://t.co/viU44Lkeat

[Anay Mehrotra @AnayMehrotra]

We are organizing tutorial on Language Generation at #COLT 2025!

Visit our website (link below) for references and materials; content is updated regularly, so check back for the latest.

Organizers: Moses Charikar, Me, Chirag Pabbaraju, @_cpeale, @gvelegkas

See you in Lyon!

[Charlotte Peale @_cpeale]

Excited to be presenting our spotlight paper on provable decompositions of predictive uncertainty today at #iclr2025! Come visit poster #501 from 3-5:30pm in Hall 3 + Hall 2B to learn more.

[Gustaf Ahdritz @gahdritz]

Why is your model uncertain? Is it just the model, or is the data ambigious?

In our ICLR 2025 spotlight w/ Aravind Gollakota, Parikshit Gopalan, Charlotte Peale, & Udi Wieder @Apple, we introduce a method for uncertainty decomposition with provable guaranteees!

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