490 citations · 1.5k across the 111 of their papers we have counts for
6 papers · 1 filter
Misspecified Nonconvex Statistical Optimization for Phase Retrieval
Zhuoran Yang, Lin F. Yang, Ethan X. Fang +3
Existing nonconvex statistical optimization theory and methods crucially rely on the correct specification of the underlying "true" statistical models. To address this issue, we ta…
Deep Hyperspherical Learning
Weiyang Liu, Yan-Ming Zhang, Xingguo Li +4
Convolution as inner product has been the founding basis of convolutional neural networks (CNNs) and the key to end-to-end visual representation learning. Benefiting from deeper ar…
On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions
Xingguo Li, Lin F. Yang, Jason Ge +3
We propose a DC proximal Newton algorithm for solving nonconvex regularized sparse learning problems in high dimensions. Our proposed algorithm integrates the proximal Newton algor…
Online Factorization and Partition of Complex Networks From Random Walks
Lin F. Yang, Vladimir Braverman, Tuo Zhao +1
Finding the reduced-dimensional structure is critical to understanding complex networks. Existing approaches such as spectral clustering are applicable only when the full network i…
Homotopy Parametric Simplex Method for Sparse Learning
Haotian Pang, Robert Vanderbei, Han Liu +1
High dimensional sparse learning has imposed a great computational challenge to large scale data analysis. In this paper, we are interested in a broad class of sparse learning appr…
Dropping Convexity for More Efficient and Scalable Online Multiview Learning
Zhehui Chen, Lin F. Yang, Chris J. Li +1
Multiview representation learning is very popular for latent factor analysis. It naturally arises in many data analysis, machine learning, and information retrieval applications to…