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Rachel Ward

18 papers · 2014–2024 · 6 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (26) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (6) πŸ† Keyword Champion (3) πŸ—ƒοΈ Keyword Collector (70) ⚑ Prolific Year (5) πŸ’Ž Century Club (18) πŸ”₯ Unstoppable (6) ❓ The Questioner

Conferences

NIPS (7) COLT (3) ICML (3) AISTATS (2) JMLR (2) AAAI (1)

Top co-authors

Xiaoxia Wu (5) Yijun Dong (3) Sujay Sanghavi (3) Yuege Xie (3) Deanna Needell (2) LΓ©on Bottou (2) Yudong Chen (2) Srinadh Bhojanapalli (2) Qi Lei (2) Tuo Zhao (1)

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 Oja’s 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