1 citations · 1 across the 3 of their papers we have counts for
Showing stat.MLShow all
3 papers · 1 filter
stat.ML2026
Active Seriation: Efficient Ordering Recovery with Statistical Guarantees
James Cheshire, Yann Issartel
Active seriation aims at recovering an unknown ordering of items by adaptively querying pairwise similarities. The observations are noisy measurements of entries of an underlyi…
stat.ML2026
Active Bipartite Ranking with Smooth Posterior Distributions
James Cheshire, Stephan Clémençon
In this article, bipartite ranking, a statistical learning problem involved in many applications and widely studied in the passive context, is approached in a much more general \te…
stat.ML2021★ 1 cited
Problem Dependent View on Structured Thresholding Bandit Problems
James Cheshire, Pierre Ménard, Alexandra Carpentier
We investigate the problem dependent regime in the stochastic Thresholding Bandit problem (TBP) under several shape constraints. In the TBP, the objective of the learner is to outp…