Places I've been
Algorithmic work on general order-constrained optimization, focused on efficient methods that scale beyond the narrowest special cases.
AAAI · 2022
A portfolio-optimization formulation that brings higher-order moments into a scalable parametric model instead of treating them as a purely theoretical extension.
IEEE Transactions on Signal Processing · 2023
A decomposition-based route for learning large-scale structured graphical models while keeping the computation practical at nontrivial problem sizes.
NeurIPS · 2023
Techniques that show up across papers and projects.
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