Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity

Research article (CaltechAUTHORS (California Institute of Technology), 2018) · cited 13× · AI/ML
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Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity

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Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-without-the-phase-regularized-phasemax-achieves-optimal-sample-complexity
MLA “Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-without-the-phase-regularized-phasemax-achieves-optimal-sample-complexity.
BibTeX @misc{4ortxyz_learning-without-the-phase-regularized-phasemax-achieves-optimal-sample-complexity_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity}}, year = {2026}, url = {https://4ort.xyz/entity/learning-without-the-phase-regularized-phasemax-achieves-optimal-sample-complexity}, note = {Accessed: 2026-05-24}}
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