Deanna Needell
12 papers · 2014–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Interdisciplinary Bridge π Academic Marathon (11)
π
Academic Marathon
(11)
π
Cross-Pollinator
(8)
π
Renaissance Researcher
(5)
π
Century Club
(12)
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Trend Setter
β
The Questioner
π₯
Unstoppable
(6)
Conferences
JMLR (5)
NIPS (4)
EMNLP (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
binary classification
(3)
benign overfitting
(2)
hinge loss
(2)
dictionary learning
(2)
tensor decomposition
(2)
nonnegative matrix factorization
(2)
non-negative matrix factorization
(2)
markov chain
(2)
importance sampling
(1)
online learning
(1)
learning theory
(1)
markov chain monte carlo
(1)
hierarchical clustering
(1)
label noise
(1)
stochastic gradient descent
(1)
matrix approximation
(1)
topic modeling
(1)
margin maximization
(1)
cur decomposition
(1)
gradient descent
(1)
Papers
Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems
JMLR 2025
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms
ICML 2024
Benign overfitting in leaky ReLU networks with moderate input dimension
NIPS 2024
Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign?
NIPS 2023
SP2 : A Second Order Stochastic Polyak Method
ICLR 2023
Nearly Optimal Bounds for Cyclic Forgetting
NIPS 2023
Online Nonnegative CP-dictionary Learning for Markovian Data
JMLR 2022
Mode-wise Tensor Decompositions: Multi-dimensional Generalizations of CUR Decompositions
JMLR 2021
Online matrix factorization for Markovian data and applications to Network Dictionary Learning
JMLR 2020
COVID-19 Literature Topic-Based Search via Hierarchical NMF
EMNLP 2020
Simple Classification Using Binary Data
JMLR 2018
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm
NIPS 2014