67 citations · 93 across the 19 of their papers we have counts for
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math.ST2020★ 4 cited
Optimal Bayesian estimation of Gaussian mixtures with growing number of components
Ilsang Ohn, Lizhen Lin
We study Bayesian estimation of finite mixture models in a general setup where the number of components is unknown and allowed to grow with the sample size. An assumption on growin…
math.ST2020★ 3 cited
Nonconvex sparse regularization for deep neural networks and its optimality
Ilsang Ohn, Yongdai Kim
Recent theoretical studies proved that deep neural network (DNN) estimators obtained by minimizing empirical risk with a certain sparsity constraint can attain optimal convergence…