Introduction to Ai4opt Tutorial Lectures Randomized Matrix Computations Part Iv
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Summary & Highlights for Ai4opt Tutorial Lectures Randomized Matrix Computations Part Iv
- Joel Tropp (Caltech) https://simons.berkeley.edu/talks/joel-tropp-caltech-2025-09-17-1 Complexity and Linear Algebra Boot Camp ...
- Abstract: Motivated by applications such as particle tracking, network de-anonymization, and computer vision, a recent thread of ...
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- Abstract: Semidefinite programs (SDPs) have been used as a tractable relaxation for many NP-hard problems that naturally arise ...
- Abstract: Hidden Markov models (HMMs) are some of the most widely-used tools in statistical sequence modeling; unfortunately ...
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