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researcher

R. K. Wong

4 papers hereh-index 7239 citations14 works total

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

author position
  • middle author3
  • last author1

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

fields
  • stat.ML3
  • stat.ME1
same name
  • R. K. Wong — 2 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedCP Degeneracy in Tensor Regression

8 citations · 11 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ME2022

Hierarchical nuclear norm penalization for multi-view data

Sangyoon Yi, Raymond K. W. Wong, Irina Gaynanova

The prevalence of data collected on the same set of samples from multiple sources (i.e., multi-view data) has prompted significant development of data integration methods based on…

stat.ML2021★ 2 cited

Implicit Sparse Regularization: The Impact of Depth and Early Stopping

Jiangyuan Li, Thanh V. Nguyen, Chinmay Hegde +1

In this paper, we study the implicit bias of gradient descent for sparse regression. We extend results on regression with quadratic parametrization, which amounts to depth-2 diagon…

stat.ML2021★ 1 cited

Matrix Completion with Model-free Weighting

Jiayi Wang, Raymond K. W. Wong, Xiaojun Mao +1

In this paper, we propose a novel method for matrix completion under general non-uniform missing structures. By controlling an upper bound of a novel balancing error, we construct…

stat.ML2020★ 8 cited

CP Degeneracy in Tensor Regression

Ya Zhou, Raymond K. W. Wong, Kejun He

Tensor linear regression is an important and useful tool for analyzing tensor data. To deal with high dimensionality, CANDECOMP/PARAFAC (CP) low-rank constraints are often imposed…

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