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Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks.

, and . J. Mach. Learn. Res., (2020)

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Multireference Alignment Is Easier With an Aperiodic Translation Distribution., , , , , and . IEEE Trans. Inf. Theory, 65 (6): 3565-3584 (2019)The merged-staircase property: a necessary and nearly sufficient condition for SGD learning of sparse functions on two-layer neural networks., , and . CoRR, (2022)Can Knowledge Transfer Techniques Compensate for the Limited Myocardial Infarction Data by Leveraging Hæmodynamics? An in silico Study., , , , , , and . AIME, volume 13897 of Lecture Notes in Computer Science, page 218-228. Springer, (2023)Polarization in Attraction-Repulsion Models., , and . ISIT, page 2765-2770. IEEE, (2020)Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 7379-7389. PMLR, (2021)Generalization on the Unseen, Logic Reasoning and Degree Curriculum., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 31-60. PMLR, (2023)Binary perceptron: efficient algorithms can find solutions in a rare well-connected cluster., , and . STOC, page 860-873. ACM, (2022)Poly-time universality and limitations of deep learning., and . CoRR, (2020)Provable limitations of deep learning., and . CoRR, (2018)Reed-Muller Codes., , , and . Found. Trends Commun. Inf. Theory, 20 (1-2): 1-156 (2023)