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cs.LG2023
Bandit-Driven Batch Selection for Robust Learning under Label Noise
Michal Lisicki, Mihai Nica, Graham W. Taylor
We introduce a novel approach for batch selection in Stochastic Gradient Descent (SGD) training, leveraging combinatorial bandit algorithms. Our methodology focuses on optimizing t…
cs.LG2023★ 1 cited
Diffusion on the Probability Simplex
Griffin Floto, Thorsteinn Jonsson, Mihai Nica +2
Diffusion models learn to reverse the progressive noising of a data distribution to create a generative model. However, the desired continuous nature of the noising process can be…