GEN 5634

Universal Information Processing

Stanford University · UGRD · Fall 2026

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Universal schemes for information processing tasks such as compression, communication, sequential probability assignments, prediction, denoising, and filtering. Characterization of performance limits in stochastic, semi-stochastic, and individual sequence settings. Ziv-Lempel compression as an end goal, and as an engine for other information processing tasks. Trade Offs between performance (e.g. accuracy), amounts of data processed, and computation.

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Class #stanford-5634Fall 2026UGRD3 credits
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