Jarvis Haupt
9 papers · 2005–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
๐ Conference Polyglot ยท Silver ๐ Academic Marathon ยท Ultra ๐ Interdisciplinary Bridge ยท Bronze ๐บ๏ธ Taxonomy Completionist (15) ๐ฃ Hot Topic Early Bird
๐
Conference Pioneer
Top co-authors
Research topics
Keywords
non-convex optimization
(3)
stochastic optimization
(2)
sparse coding
(2)
sparse learning
(2)
constrained optimization
(1)
convex optimization
(1)
dimensionality reduction
(1)
compressive sensing
(1)
online learning
(1)
cardinality constraint
(1)
variance reduction
(1)
neural architecture
(1)
tensor decomposition
(1)
low-rank approximation
(1)
convex relaxation
(1)
matrix factorization
(1)
compressed sensing
(1)
alternating optimization
(1)
sparse optimization
(1)
dictionary learning
(1)
Papers
Towards Understanding Gradient Flow Dynamics of Homogeneous Neural Networks Beyond the Origin
JMLR 2025
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning
NeurIPS 2020
NOODL: Provable Online Dictionary Learning and Sparse Coding
ICLR 2019
On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition
AISTATS 2019
On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Donโt Worry About its Nonsmooth Loss Function
UAI 2019
Near Optimal Sketching of Low-Rank Tensor Regression
NeurIPS 2017
On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning
NeurIPS 2017
Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning
ICML 2016
Distilled sensing: selective sampling for sparse signal recovery
AISTATS 2005