Jarvis Haupt
8 papers · 2016–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π£ Hot Topic Early Bird π Conference Polyglot (6) π Academic Marathon (9)
π
Cross-Pollinator
(6)
πΊοΈ
Taxonomy Completionist
(15)
π
Conference Pioneer
Conferences
NIPS (3)
AISTATS (1)
ICLR (1)
ICML (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
nonconvex optimization
(3)
stochastic optimization
(2)
sparse learning
(2)
online learning
(1)
convex optimization
(1)
matrix factorization
(1)
sparse coding
(1)
compressive sensing
(1)
constrained optimization
(1)
tensor decomposition
(1)
low-rank approximation
(1)
convex relaxation
(1)
variance reduction
(1)
cardinality constraint
(1)
sparse optimization
(1)
dc programming
(1)
nonsmooth optimization
(1)
low-rank tensor
(1)
random projection
(1)
convergence guarantee
(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
NIPS 2020
NOODL: Provable Online Dictionary Learning and Sparse Coding
ICLR 2019
On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Donβt Worry About its Nonsmooth Loss Function
UAI 2019
On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition
AISTATS 2019
Near Optimal Sketching of Low-Rank Tensor Regression
NIPS 2017
On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning
NIPS 2017
Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning
ICML 2016