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Implicit differentiation of Lasso-type models for hyperparameter optimization., , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 810-821. PMLR, (2020)Sparse and Smooth: improved guarantees for Spectral Clustering in the Dynamic Stochastic Block Model., and . CoRR, (2020)Gradient Scarcity in Graph Learning with Bilevel Optimization., , and . Trans. Mach. Learn. Res., (2024)Implicit differentiation for fast hyperparameter selection in non-smooth convex learning., , , , , , and . CoRR, (2021)A framework for bilevel optimization that enables stochastic and global variance reduction algorithms., , , and . NeurIPS, (2022)Automatic differentiation of nonsmooth iterative algorithms., , and . NeurIPS, (2022)Refitting Solutions Promoted by ℓ _12 Sparse Analysis Regularizations with Block Penalties., , , and . SSVM, volume 11603 of Lecture Notes in Computer Science, page 131-143. Springer, (2019)On the Robustness of Text Vectorizers., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 3782-3814. PMLR, (2023)Provable local learning rule by expert aggregation for a Hawkes network., , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 1837-1845. PMLR, (2024)A Near-Optimal Algorithm for Bilevel Empirical Risk Minimization., , , and . CoRR, (2023)