Understanding Ai4opt Tutorial Lectures Randomized Matrix Computations Part I

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  • Title: Model-Based Derivative-Free Optimization: Algorithms and Approximation Theory Abstract: Derivative-free optimization ...
  • Joel Tropp (Caltech) https://simons.berkeley.edu/talks/joel-tropp-caltech-2025-09-17-1 Complexity and Linear Algebra Boot Camp ...
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  • Abstract: Hidden Markov models (HMMs) are some of the most widely-used tools in statistical sequence modeling; unfortunately ...
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Abstract: Motivated by applications such as particle tracking, network de-anonymization, and computer vision, a recent thread of ...

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