4 citations · 6 across the 5 of their papers we have counts for
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stat.ML2020★ 1 cited
Provably Training Overparameterized Neural Network Classifiers with Non-convex Constraints
You-Lin Chen, Zhaoran Wang, Mladen Kolar
Training a classifier under non-convex constraints has gotten increasing attention in the machine learning community thanks to its wide range of applications such as algorithmic fa…
stat.ML2020★ 4 cited
Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach
Luofeng Liao, You-Lin Chen, Zhuoran Yang +3
Structural equation models (SEMs) are widely used in sciences, ranging from economics to psychology, to uncover causal relationships underlying a complex system under consideration…
math.OC2020★ 1 cited
Convergence Analysis of Accelerated Stochastic Gradient Descent under the Growth Condition
You-Lin Chen, Sen Na, Mladen Kolar
We study the convergence of accelerated stochastic gradient descent for strongly convex objectives under the growth condition, which states that the variance of stochastic gradient…