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.
Overview
Syllabus
Differentially Quantized Gradient Methods
Taught by
Simons Institute
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