Publications (49)
Phaseless Signal Recovery in Infinite Dimensional Spaces using Structured Modulations
Volker Pohl, Fanny Yang, Holger Boche
This paper considers the recovery of continuous signals in infinite dimensional spaces from the magnitude of their frequency samples. It proposes a sampling scheme which involves a…
Can semi-supervised learning use all the data effectively? A lower bound perspective
Alexandru Ţifrea, Gizem Yüce, Amartya Sanyal +1
Prior works have shown that semi-supervised learning algorithms can leverage unlabeled data to improve over the labeled sample complexity of supervised learning (SL) algorithms. Ho…
Early stopping for kernel boosting algorithms: A general analysis with localized complexities
Yuting Wei, Fanny Yang, Martin J. Wainwright
Early stopping of iterative algorithms is a widely-used form of regularization in statistics, commonly used in conjunction with boosting and related gradient-type algorithms. Altho…
Detecting critical treatment effect bias in small subgroups
Piersilvio De Bartolomeis, Javier Abad, Konstantin Donhauser +1
Randomized trials are considered the gold standard for making informed decisions in medicine, yet they often lack generalizability to the patient populations in clinical practice.…
WavFlow: Audio Generation in Waveform Space
Feiyan Zhou, Luyuan Wang, Shoufa Chen +6
Modern audio generation predominantly relies on latent-space compression, introducing additional complexity and potential information loss. In this work, we challenge this paradigm…
Doubly robust identification of treatment effects from multiple environments
Piersilvio De Bartolomeis, Julia Kostin, Javier Abad +2
Practical and ethical constraints often require the use of observational data for causal inference, particularly in medicine and social sciences. Yet, observational datasets are pr…