Rachel Ward
18 papers · 2014–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (10)
π
Interdisciplinary Bridge
π
Conference Polyglot
(6)
π
Keyword Champion
(3)
ποΈ
Keyword Collector
(70)
β‘
Prolific Year
(5)
π
Century Club
(18)
π₯
Unstoppable
(6)
β
The Questioner
Conferences
NIPS (7)
COLT (3)
ICML (3)
AISTATS (2)
JMLR (2)
AAAI (1)
Top co-authors
Keywords
stochastic gradient descent
(4)
linear convergence
(4)
gradient descent
(4)
convergence rate
(4)
adaptive gradient
(3)
nonconvex optimization
(3)
non-convex optimization
(2)
data augmentation
(2)
continual learning
(2)
matrix factorization
(2)
consistency regularization
(2)
matrix completion
(2)
convergence analysis
(2)
leverage score
(2)
polyak-lojasiewicz inequality
(2)
medical image segmentation
(1)
semi-supervised learning
(1)
uncertainty quantification
(1)
sample efficiency
(1)
spectral clustering
(1)
Papers
Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks
NIPS 2024
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift
ICML 2023
Sample Efficiency of Data Augmentation Consistency Regularization
AISTATS 2023
Convergence of Alternating Gradient Descent for Matrix Factorization
NIPS 2023
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering
NIPS 2023
Nearly Optimal Bounds for Cyclic Forgetting
NIPS 2023
The Power of Adaptivity in SGD: Self-Tuning Step Sizes with Unbounded Gradients and Affine Variance
COLT 2022
How catastrophic can catastrophic forgetting be in linear regression?
COLT 2022
AdaLoss: A Computationally-Efficient and Provably Convergent Adaptive Gradient Method
AAAI 2022
Bootstrapping the Error of Oja's Algorithm
NIPS 2021
Streaming k-PCA: Efficient guarantees for Ojaβs algorithm, beyond rank-one updates
COLT 2021
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes
JMLR 2020
Implicit Regularization and Convergence for Weight Normalization
NIPS 2020
Linear Convergence of Adaptive Stochastic Gradient Descent
AISTATS 2020
AdaGrad Stepsizes: Sharp Convergence Over Nonconvex Landscapes
ICML 2019
Completing Any Low-rank Matrix, Provably
JMLR 2015
Coherent Matrix Completion
ICML 2014
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm
NIPS 2014