3 citations · 3 across the 3 of their papers we have counts for
3 papers
stat.ML2024
Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data
Eyar Azar, Boaz Nadler
The premise of semi-supervised learning (SSL) is that combining labeled and unlabeled data yields significantly more accurate models. Despite empirical successes, the theoretical u…
cs.LG2023★ 3 cited
Generalization and Estimation Error Bounds for Model-based Neural Networks
Avner Shultzman, Eyar Azar, Miguel R. D. Rodrigues +1
Model-based neural networks provide unparalleled performance for various tasks, such as sparse coding and compressed sensing problems. Due to the strong connection with the sensing…
eess.SP2022
Robust Unlimited Sampling Beyond Modulo
Eyar Azar, Satish Mulleti, Yonina C. Eldar
Analog to digital converters (ADCs) act as a bridge between the analog and digital domains. Two important attributes of any ADC are sampling rate and its dynamic range. For bandlim…