Low Precision Representations for High Dimensional Models

• Published in: Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 1 - 5
• Main Authors: Saha, Rajarshi, Pilanci, Mert, Goldsmith, Andrea J.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 04.06.2023
• Subjects: Classification; Computational modeling; Minimax lower bounds; Neural networks; Prediction algorithms; Predictive models; Quantization; Quantization (signal); Randomized Hadamard; Regression; Signal processing algorithms; Training

The large memory footprint of high dimensional models require quantization to a lower precision for deployment on resource constrained edge devices. With this motivation, we consider the problems of learning a (i) linear regressor, and a (ii) linear classifier from a given training dataset, and quan...