Welcome to my digital garden! I’m Pranav, a researcher in the ML Lab at the Indian Institute of Science. Here you’ll find notes and articles that are mostly my effort at collecting and organizing all the mathematical machinery and engineering tricks that I find useful for my research (or that I simply care about for the sake of it).
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- Hessian Series 1 - The first in a series of write-ups about leveraging Hessian properties during optimization. Covers classical first- and second-order methods, future articles are planned to cover
- Modern nonconvex optimization theory
- Information-geometric approaches
- Efficient algorithms for approximating trace functions and eigenvalue densities