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stat.ML2025
When to Transfer: Adaptive Source Selection for Positive Transfer in Linear Models
Hamza Cherkaoui, Hélène Halconruy, Yohan Petetin
In many business settings, task-specific labeled data are scarce or costly to obtain, limiting supervised learning on a target task. A classical response is transfer learning (TL).…
stat.ML2023
A Probabilistic Semi-Supervised Approach with Triplet Markov Chains
Katherine Morales, Yohan Petetin
Triplet Markov chains are general generative models for sequential data which take into account three kinds of random variables: (noisy) observations, their associated discrete lab…