Deanna Needell
13 papers · 2014–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (32) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half
❓
The Questioner
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
(66)
Venues
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory · Machine Learning
(10)
Mathematics & Optimization
(8)
Optimization
(7)
Core Methods
(5)
Deep Learning
(4)
Learning Types · Machine Learning
(4)
Optimization & Theory · Deep Learning
(3)
Data Science & Analytics
(2)
Methods
(2)
Healthcare & Medicine
(1)
Applications
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Research
(1)
Keywords
non-negative matrix factorization
(3)
binary classification
(3)
stationary point
(3)
tensor decomposition
(2)
hinge loss
(2)
dictionary learning
(2)
markov chain
(2)
benign overfitting
(2)
online learning
(1)
logistic regression
(1)
stochastic gradient descent
(1)
topic modeling
(1)
convergence analysis
(1)
hierarchical clustering
(1)
dimensionality reduction
(1)
feature extraction
(1)
label noise
(1)
convex optimization
(1)
continual learning
(1)
importance sampling
(1)
Papers
Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization
JMLR 2026
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems
JMLR 2025
Benign overfitting in leaky ReLU networks with moderate input dimension
NeurIPS 2024
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms
ICML 2024
Nearly Optimal Bounds for Cyclic Forgetting
NeurIPS 2023
SP2 : A Second Order Stochastic Polyak Method
ICLR 2023
Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign?
NeurIPS 2023
Online Nonnegative CP-dictionary Learning for Markovian Data
JMLR 2022
Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions
JMLR 2021
COVID-19 Literature Topic-Based Search via Hierarchical NMF
EMNLP 2020
Online matrix factorization for Markovian data and applications to Network Dictionary Learning
JMLR 2020
Simple Classification Using Binary Data
JMLR 2018
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm
NeurIPS 2014