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20222026
most citedA framework for bilevel optimization that enables stochastic and global variance reduction algorithms

10 citations · 19 across the 5 of their papers we have counts for

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Showing 2023 · stat.MLShow all

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stat.ML2023

A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization

Mathieu Dagréou, Thomas Moreau, Samuel Vaiter +1

Bilevel optimization problems, which are problems where two optimization problems are nested, have more and more applications in machine learning. In many practical cases, the uppe…