From the 2 of 8 linked papers with an AI index.
8 papers
Learning Distributions from Multiple Data Providers
Jon Kleinberg, Amin Saberi, Xizhi Tan +1
Motivated by learning from heterogeneous and overlapping data providers, we study a stylized model of distribution learning from restricted conditional samples. The goal is to lear…
Language Identification with Succinct Machine-Independent Traces
Moses Charikar, Jon Kleinberg, Chirag Pabbaraju
The paper shows that language identification in the limit can be achieved using compact, machine‑independent computational traces that use only a small alphabet derived directly fr…
Globally Consistent Coloring Schemes for Language Identification
Moses Charikar, Jon Kleinberg, Chirag Pabbaraju
The paper shows that a single terminal bit attached to each example string is sufficient to identify any countable collection of infinite languages in Gold's language identificatio…
On Language Generation in the Limit with Bounded Memory
Jon Kleinberg, Anay Mehrotra, Amin Saberi +1
We study language generation in the limit under bounded memory. In this task, a learner observes examples from an unknown target language one at a time and must eventually output o…
Mistake-Bounded Language Generation
Jon Kleinberg, Charlotte Peale, Omer Reingold
We investigate the learning task of language generation in the limit, but shift focus from the traditional time-of-last-mistake metric of a generator's success to a new notion of "…
Validity, Sparse Holes, and Breadth in Language Generation: Banach Density, Topology, and Geometry
Jon Kleinberg, Fan Wei
Language generation in the limit, rooted in work of Gold and Angluin and revived by Kleinberg and Mullainathan, studies generation under minimal assumptions: an adversary enumerate…