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cs.LG2024★ 2 cited
Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise
Kwangjun Ahn, Zhiyu Zhang, Yunbum Kook +1
Despite the success of the Adam optimizer in practice, the theoretical understanding of its algorithmic components still remains limited. In particular, most existing analyses of A…
cs.LG2022
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space
Yunbum Kook, Yin Tat Lee, Ruoqi Shen +1
We demonstrate for the first time that ill-conditioned, non-smooth, constrained distributions in very high dimension, upwards of 100,000, can be sampled efficiently $\textit{in pra…