Yuqian Zhang

is this you? claim profile

0 followers

∙

Columbia University

∙

cornell university

∙

University of California, San Diego

Featured Co-authors

Yonina C. Eldar
113 publications
Xiao Li
66 publications
Yudong Chen
45 publications
Madeleine Udell
39 publications
John Wright
34 publications
Jelena Bradic
30 publications
Ju Sun
25 publications
Zhihui Zhu
23 publications
Qing Qu
18 publications
Donald Goldfarb
16 publications
Lijun Ding
12 publications

∙ 01/13/2022

A Geometric Approach to k-means

k-means clustering is a fundamental problem in various disciplines. This...

Jiazhen Hong, et al. ∙

∙ 11/12/2021

Dynamic treatment effects: high-dimensional inference under model misspecification

This paper considers the inference for heterogeneous treatment effects i...

Yuqian Zhang, et al. ∙

∙ 10/10/2021

High-dimensional Inference for Dynamic Treatment Effects

This paper proposes a confidence interval construction for heterogeneous...

Jelena Bradic, et al. ∙

∙ 06/14/2021

Unique sparse decomposition of low rank matrices

The problem of finding the unique low dimensional decomposition of a giv...

Dian Jin, et al. ∙

∙ 04/14/2021

Double Robust Semi-Supervised Inference for the Mean: Selection Bias under MAR Labeling with Decaying Overlap

Semi-supervised (SS) inference has received much attention in recent yea...

Yuqian Zhang, et al. ∙

∙ 08/31/2020

Low-rank matrix recovery with non-quadratic loss: projected gradient method and regularity projection oracle

Existing results for low-rank matrix recovery largely focus on quadratic...

Lijun Ding, et al. ∙

∙ 07/14/2020

From Symmetry to Geometry: Tractable Nonconvex Problems

As science and engineering have become increasingly data-driven, the rol...

Yuqian Zhang, et al. ∙

∙ 02/16/2020

Structures of Spurious Local Minima in k-means

k-means clustering is a fundamental problem in unsupervised learning. Th...

Wei Qian, et al. ∙

∙ 12/15/2019

Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning

This paper develops new methods to recover the missing entries of a high...

Jicong Fan, et al. ∙

∙ 12/05/2019

Analysis of the Optimization Landscapes for Overcomplete Representation Learning

We study nonconvex optimization landscapes for learning overcomplete rep...

Qing Qu, et al. ∙

∙ 08/28/2019

Short-and-Sparse Deconvolution -- A Geometric Approach

Short-and-sparse deconvolution (SaSD) is the problem of extracting local...

Yenson Lau, et al. ∙

∙ 06/16/2019

Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities

This work studies the location estimation problem for a mixture of two r...

Wei Qian, et al. ∙

∙ 02/02/2019

High-dimensional semi-supervised learning: in search for optimal inference of the mean

We provide a high-dimensional semi-supervised inference framework focuse...

Yuqian Zhang, et al. ∙

∙ 01/07/2019

On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution

Blind deconvolution is the problem of recovering a convolutional kernel ...

Yuqian Zhang, et al. ∙

∙ 01/02/2019

Geometry and Symmetry in Short-and-Sparse Deconvolution

We study the Short-and-Sparse (SaS) deconvolution problem of recovering ...

Han-wen Kuo, et al. ∙

∙ 06/01/2018

Structured Local Optima in Sparse Blind Deconvolution

Blind deconvolution is a ubiquitous problem of recovering two unknown si...

Yuqian Zhang, et al. ∙

∙ 12/03/2017

Convolutional Phase Retrieval via Gradient Descent

We study the convolutional phase retrieval problem, which considers reco...

Qing Qu, et al. ∙

∙ 03/29/2014

Scalable Robust Matrix Recovery: Frank-Wolfe Meets Proximal Methods

Recovering matrices from compressive and grossly corrupted observations ...

Cun Mu, et al. ∙

∙ 07/04/2013

Toward Guaranteed Illumination Models for Non-Convex Objects

Illumination variation remains a central challenge in object detection a...

Yuqian Zhang, et al. ∙

∙ 11/05/2012

Efficient Point-to-Subspace Query in ℓ^1: Theory and Applications in Computer Vision

Motivated by vision tasks such as robust face and object recognition, we...

Ju Sun, et al. ∙

∙ 08/02/2012

Efficient Point-to-Subspace Query in ℓ^1 with Application to Robust Object Instance Recognition

Motivated by vision tasks such as robust face and object recognition, we...

Ju Sun, et al. ∙