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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)

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Multi-output Polynomial Networks and Factorization Machines., , , and . NIPS, page 3349-3359. (2017)Efficient and Modular Implicit Differentiation., , , , , , , and . CoRR, (2021)Sinkformers: Transformers with Doubly Stochastic Attention., , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 3515-3530. PMLR, (2022)Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 29919-29936. PMLR, (2023)Momentum Residual Neural Networks., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 9276-9287. PMLR, (2021)Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms., , , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 850-858. JMLR.org, (2016)The Elements of Differentiable Programming., and . CoRR, (2024)Application of Semantic Kernels to Literature-Based Gene Function Annotation., , and . Discovery Science, volume 6926 of Lecture Notes in Computer Science, page 61-75. Springer, (2011)Sinkformers: Transformers with Doubly Stochastic Attention, , , and . (2021)cite arxiv:2110.11773Comment: Accepted at AISTATS.Sparsity-Constrained Optimal Transport., , and . CoRR, (2022)