Safeguarded Learned Convex Optimization

TL; DR - Safeguarded learning to optimize (L2O) algorithms can leverage the strength of machine learning tools while maintaining convergence guarantees.

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Preprint Citation Code Slides

Howard Heaton, Xiaohan Chen, Atlas Wang, and Wotao Yin

(Under Construction - Jan 2021)

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Projecting to Manifolds via Unsupervised Learning

10 minute read

TL; DR - We present an algorithm for performing projections onto the low dimensional manifolds that efficiently represent true data.

Async Inertial Method for Common Fixed Points

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TL; DR - Baby version of ARock for common fixed points without using any probability.

Safeguarded Learned Convex Optimization

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Projecting to Manifolds via Unsupervised Learning

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