2 citations · 8 across the 30 of their papers we have counts for
4 papers · 1 filter
Prediction with Expert Advice: Anytime Regret with Many Experts Matches the Fixed-Time Constant
Yang Cai, Vineet Gupta, Yanchen Jiang +4
Prediction with expert advice is a fundamental problem in online learning. When the time horizon is known in advance, the minimax cumulative regret over experts is asymptot…
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…
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…
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…