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Found 7 papers, 2 papers with code
Covariance Adaptive Best Arm Identification
This framework allows the learner to estimate the covariance among the arms distributions, enabling a more efficient identification of the best arm.
Active Ranking of Experts Based on their Performances in Many Tasks
We consider the problem of ranking n experts based on their performances on d tasks.
Localization in 1D non-parametric latent space models from pairwise affinities
We consider the problem of estimating latent positions in a one-dimensional torus from pairwise affinities.
Partial recovery bounds for clustering with the relaxed $K$means
We investigate the clustering performances of the relaxed $K$means in the setting of sub-Gaussian Mixture Model (sGMM) and Stochastic Block Model (SBM).
PECOK: a convex optimization approach to variable clustering
The problem of variable clustering is that of grouping similar components of a $p$-dimensional vector $X=(X_{1},\ldots, X_{p})$, and estimating these groups from $n$ independent copies of $X$.
Statistics Theory Statistics Theory
Model Assisted Variable Clustering: Minimax-optimal Recovery and Algorithms
We quantify the difficulty of clustering data generated from a G-block covariance model in terms of cluster proximity, measured with respect to two related, but different, cluster separation metrics.
Community Detection in Sparse Random Networks
This is formalized as testing for the existence of a dense random subgraph in a random graph.
