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stat.ML2024
Mode Estimation with Partial Feedback
Charles Arnal, Vivien Cabannes, Vianney Perchet
The combination of lightly supervised pre-training and online fine-tuning has played a key role in recent AI developments. These new learning pipelines call for new theoretical fra…
stat.ML2023
Scaling Laws for Associative Memories
Vivien Cabannes, Elvis Dohmatob, Alberto Bietti
Learning arguably involves the discovery and memorization of abstract rules. The aim of this paper is to study associative memory mechanisms. Our model is based on high-dimensional…
stat.ML2023
Open Problem: Learning with Variational Objectives on Measures
Vivien Cabannes, Carles Domingo-Enrich
The theory of statistical learning has focused on variational objectives expressed on functions. In this note, we discuss motivations to write similar objectives on measures, in pa…