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Pengkun Yang

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.ST2
  • cs.LG1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedPolynomial methods in statistical inference: theory and practice

12 citations · 12 across the 2 of their papers we have counts for

collaborators

4 papers

math.ST2021★ 12 cited

Polynomial methods in statistical inference: theory and practice

Yihong Wu, Pengkun Yang

This survey provides an exposition of a suite of techniques based on the theory of polynomials, collectively referred to as polynomial methods, which have recently been applied to…

stat.ML2020

Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks

Cong Fang, Jason D. Lee, Pengkun Yang +1

This paper proposes a new mean-field framework for over-parameterized deep neural networks (DNNs), which can be used to analyze neural network training. In this framework, a DNN is…

cs.LG2019

On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective

Lili Su, Pengkun Yang

We consider training over-parameterized two-layer neural networks with Rectified Linear Unit (ReLU) using gradient descent (GD) method. Inspired by a recent line of work, we study…

math.ST2018

Optimal estimation of Gaussian mixtures via denoised method of moments

Yihong Wu, Pengkun Yang

The Method of Moments [Pea94] is one of the most widely used methods in statistics for parameter estimation, by means of solving the system of equations that match the population a…

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