Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash 84 tok/s
Gemini 2.5 Pro 57 tok/s Pro
GPT-5 Medium 23 tok/s
GPT-5 High 17 tok/s Pro
GPT-4o 101 tok/s
GPT OSS 120B 458 tok/s Pro
Kimi K2 206 tok/s Pro
2000 character limit reached

Subadditivity of Matrix phi-Entropy and Concentration of Random Matrices (1308.2952v1)

Published 13 Aug 2013 in cs.IT, math.IT, and math.PR

Abstract: Matrix concentration inequalities provide a direct way to bound the typical spectral norm of a random matrix. The methods for establishing these results often parallel classical arguments, such as the Laplace transform method. This work develops a matrix extension of the entropy method, and it applies these ideas to obtain some matrix concentration inequalities.

Citations (34)
List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Ai Generate Text Spark Streamline Icon: https://streamlinehq.com

Paper Prompts

Sign up for free to create and run prompts on this paper using GPT-5.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube