102 citations · 786 across the 51 of their papers we have counts for
7 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…
Approximate Convex Hull of Data Streams
Avrim Blum, Vladimir Braverman, Ananya Kumar +2
Given a finite set of points , we would like to find a small subset such that the convex hull of approximately contains . More form…
Scalable Streaming Tools for Analyzing -body Simulations: Finding Halos and Investigating Excursion Sets in One Pass
Nikita Ivkin, Zaoxing Liu, Lin F. Yang +6
Cosmological -body simulations play a vital role in studying models for the evolution of the Universe. To compare to observations and make a scientific inference, statistic anal…
Clustering High Dimensional Dynamic Data Streams
Vladimir Braverman, Gereon Frahling, Harry Lang +2
We present data streaming algorithms for the -median problem in high-dimensional dynamic geometric data streams, i.e. streams allowing both insertions and deletions of points fr…
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…
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…