Andrea Goldsmith

Minimax Optimal Quantization of Linear Models: Information-Theoretic Limits and Efficient Algorithms

2022 · arXiv (Cornell University)

High-dimensional models often have a large memory footprint and must be quantized after training before being deployed on resource-constrained edge devices for inference tasks. In this work, we develop an information-theoretic framework for the problem …