559 citations · 914 across the 14 of their papers we have counts for
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stat.ML2018★ 8 cited
When Does Stochastic Gradient Algorithm Work Well?
Lam M. Nguyen, Nam H. Nguyen, Dzung T. Phan +2
In this paper, we consider a general stochastic optimization problem which is often at the core of supervised learning, such as deep learning and linear classification. We consider…
physics.ao-ph2018★ 9 cited
Development of hp-inverse model by using generalized polynomial chaos
Kyongmin Yeo, Youngdeok Hwang, Xiao Liu +1
We present a hp-inverse model to estimate a smooth, non-negative source function from a limited number of observations for a two-dimensional linear source inversion problem. A stan…