equilibrium analysis 1incentive design 1mechanism design 1payment rules 1price of anarchy 1submodular optimization 1
From the 1 of 19 linked papers with an AI index.
Showing stat.MLShow all
3 papers · 1 filter
stat.ML2026
What is Learnable in Valiant's Theory of the Learnable?
Steve Hanneke, Anay Mehrotra, Grigoris Velegkas +1
Valiant's 1984 paper is widely credited with introducing the PAC learning model, but it, in fact, introduced a different model: unlike PAC learning, the learner receives only posit…
stat.ML2026
Differentially Private Language Generation and Identification in the Limit
Anay Mehrotra, Grigoris Velegkas, Xifan Yu +1
We initiate the study of language generation in the limit, a model recently introduced by Kleinberg and Mullainathan [KM24], under the constraint of differential privacy. We consid…
stat.ML2025
Language Generation with Infinite Contamination
Anay Mehrotra, Grigoris Velegkas, Xifan Yu +1
We study language generation in the limit, where an algorithm observes an adversarial enumeration of strings from an unknown target language and must eventually generate new, u…