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Found 3 papers, 2 papers with code
Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems
We consider stochastic optimization problems with heavy-tailed noise with structured density.
Implicitly normalized forecaster with clipping for linear and non-linear heavy-tailed multi-armed bandits
We establish convergence results under mild assumptions on the rewards distribution and demonstrate that INF-clip is optimal for linear heavy-tailed stochastic MAB problems and works well for non-linear ones.
Deep Learning-Assisted Localisation of Nanoparticles in synthetically generated two-photon microscopy images
Low signal-to-noise ratios, movement of molecules out-of-focus, and high motion blur on images recorded with scanning two-photon microscopy (2PM) in vivo pose a challenge to the accurate localisation of molecules.
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