Learning-augmented Algorithms: Theory and Applications (LATA)

Speaker

Julien Dallot

Speaker Bio

Hello! I’m Julien Dallot and I’m trying to better understand the possibilities offered by Learning-Augmented algorithms during my PhD. My study what happens when mixing randomness and predictions together: I want to improve upon the deterministic setting and to derive lower-bounds that are independent from any error measure of the prediction. More specifically, I’m working on models such as Infused Advice or robustness/consistency analysis with randomness.

Talks at this conference:
 15:30Infused Advice in Randomized Algorithms ! Live

 Overview