Tag: simplex

  • Fundamental Limits of Learning High-dimensional Simplices in Noisy Regimes

    Fundamental Limits of Learning High-dimensional Simplices in Noisy Regimes arXiv:2506.10101v1 Announce Type: new Abstract: In this paper, we establish sample complexity bounds for learning high-dimensional simplices in $mathbb{R}^K$ from noisy data. Specifically, we consider $n$ i.i.d. samples uniformly drawn from an unknown simplex in $mathbb{R}^K$, each corrupted by additive Gaussian noise of unknown variance. We…