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stat.ML2024
Optimal level set estimation for non-parametric tournament and crowdsourcing problems
Maximilian Graf, Alexandra Carpentier, Nicolas Verzelen
Motivated by crowdsourcing, we consider a problem where we partially observe the correctness of the answers of experts on questions. In this paper, we assume that both the…
math.ST2024
Seriation of Toeplitz and latent position matrices: optimal rates and computational trade-offs
Clément Berenfeld, Alexandra Carpentier, Nicolas Verzelen
In this paper, we consider the problem of seriation of a permuted structured matrix based on noisy observations. The entries of the matrix relate to an expected quantification of i…
stat.ML2024
Active clustering with bandit feedback
Victor Thuot, Alexandra Carpentier, Christophe Giraud +1
We investigate the Active Clustering Problem (ACP). A learner interacts with an -armed stochastic bandit with -dimensional subGaussian feedback. There exists a hidden partiti…