John Wright
22 papers · 2007–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Conference Polyglot (8)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Keyword Champion
(3)
ποΈ
Keyword Collector
(106)
π
Trend Setter
π
Century Club
(22)
π₯
Unstoppable
(6)
π
Conference Pioneer
Conferences
NIPS (8)
ICML (5)
ICCV (2)
ICLR (2)
JMLR (2)
COLT (1)
CVPR (1)
IJCAI (1)
Top co-authors
Keywords
nonconvex optimization
(5)
dictionary learning
(5)
convex optimization
(3)
dimensionality reduction
(3)
matrix factorization
(3)
blind deconvolution
(2)
sparse recovery
(2)
sparse coding
(2)
compressive sensing
(2)
deep neural network
(2)
low-rank matrix recovery
(2)
signal processing
(2)
compressed sensing
(2)
signal recovery
(2)
saddle point
(2)
classification
(1)
manifold learning
(1)
binary classification
(1)
stochastic processes
(1)
non-convex optimization
(1)
Papers
Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization
ICML 2025
ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction
JMLR 2022
Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery
NIPS 2021
Deep Networks Provably Classify Data on Curves
NIPS 2021
Deep Networks and the Multiple Manifold Problem
ICLR 2021
Short and Sparse Deconvolution --- A Geometric Approach
ICLR 2020
Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group
JMLR 2020
Efficient Dictionary Learning with Gradient Descent
ICML 2019
Geometry and Symmetry in Short-and-Sparse Deconvolution
ICML 2019
Structured Local Minima in Sparse Blind Deconvolution
NIPS 2018
Convolutional Phase Retrieval
NIPS 2017
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution
CVPR 2017
Complete Dictionary Recovery Using Nonconvex Optimization
ICML 2015
Finding a sparse vector in a subspace: Linear sparsity using alternating directions
NIPS 2014
Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery
ICML 2014
Toward Guaranteed Illumination Models for Non-convex Objects
ICCV 2013
Fast Subspace Search via Grassmannian Based Hashing
ICCV 2013
Exact Recovery of Sparsely-Used Dictionaries
IJCAI 2013
Exact Recovery of Sparsely-Used Dictionaries
COLT 2012
Learning with Partially Absorbing Random Walks
NIPS 2012
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization
NIPS 2009
Classification via Minimum Incremental Coding Length (MICL)
NIPS 2007