Daniel Robinson
8 papers · 2015–2021 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(15)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Mathematics & Optimization
(5)
Optimization
(5)
Core Methods
(4)
Learning Types
(4)
Optimization & Theory · Machine Learning
(4)
Mathematics
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Applications
(1)
Core AI
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
non-convex optimization
(3)
convex optimization
(2)
dimensionality reduction
(2)
outlier detection
(2)
riemannian optimization
(2)
subspace learning
(2)
subspace clustering
(2)
dual principal component pursuit
(2)
l1 regularization
(1)
3d vision
(1)
sparse representation
(1)
subspace recovery
(1)
sparse coding
(1)
accelerated optimization
(1)
matrix completion
(1)
robust pca
(1)
robust principal component analysis
(1)
accelerated gradient
(1)
principal component analysis
(1)
orthogonal matching pursuit
(1)
Papers
Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms
AISTATS 2021
Conformal Symplectic and Relativistic Optimization
NeurIPS 2020
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning
NeurIPS 2019
Noisy Dual Principal Component Pursuit
ICML 2019
ADMM and Accelerated ADMM as Continuous Dynamical Systems
ICML 2018
Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms
NeurIPS 2018
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit
CVPR 2016
Sparse Subspace Clustering with Missing Entries
ICML 2015