cs.DS · 2026-07-28 · No. 67

Data Structures and Algorithms, 2026-07-28.

1 new papers in cs.DS. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Learning Distributions from Multiple Data Providers

    Jon Kleinberg, Amin Saberi, Xizhi Tan, Grigoris Velegkas

    cs.DS · cs.GT · cs.LG · stat.ML

    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 learn an unknown distribution $p$ on a finite domain $[n]$. The learner is given a fixed family of queryable sets $\mathscr{S} \subseteq 2^{[n]}$, and each query to $S \in \mathscr{S}$ returns an independent sample from the conditional distribution $p(\cdot \mid S)$....

    arxiv.org/abs/2607.24732 · PDF

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