Differentially Quantized Gradient Methods

Explore a 34-minute lecture by Victoria Kostina from the California Institute of Technology, presented at the Simons Institute, focusing on Differentially Quantized Gradient Methods. Delve into information-theoretic approaches for developing trustworthy machine learning systems, gaining insights into advanced techniques for optimizing gradient-based algorithms through quantization methods.

Differentially Quantized Gradient Methods