Needell, Deanna

14 publications

NeurIPS 2025 Are Greedy Task Orderings Better than Random in Continual Linear Regression? Matan Tsipory, Ran Levinstein, Itay Evron, Mark Kong, Deanna Needell, Daniel Soudry

JMLR 2025 Fine-Grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems Michal Dereziński, Daniel LeJeune, Deanna Needell, Elizaveta Rebrova

NeurIPS 2024 Benign Overfitting in Leaky ReLU Networks with Moderate Input Dimension Kedar Karhadkar, Erin George, Michael Murray, Guido Montúfar, Deanna Needell

ICML 2024 Convergence and Complexity Guarantee for Inexact First-Order Riemannian Optimization Algorithms Yuchen Li, Laura Balzano, Deanna Needell, Hanbaek Lyu

NeurIPSW 2024 Convergence of Manifold Filter-Combine Networks David R Johnson, Joyce Chew, Siddharth Viswanath, Edward De Brouwer, Deanna Needell, Smita Krishnaswamy, Michael Perlmutter

NeurIPS 2023 Nearly Optimal Bounds for Cyclic Forgetting William Swartworth, Deanna Needell, Rachel Ward, Mark Kong, Halyun Jeong

ICLR 2023 SP2 : A Second Order Stochastic Polyak Method Shuang Li, William Joseph Swartworth, Martin Takáč, Deanna Needell, Robert M. Gower

NeurIPS 2023 Training Shallow ReLU Networks on Noisy Data Using Hinge Loss: When Do We Overfit and Is It Benign? Erin George, Michael Murray, William Swartworth, Deanna Needell

JMLR 2022 Online Nonnegative CP-Dictionary Learning for Markovian Data Hanbaek Lyu, Christopher Strohmeier, Deanna Needell

ICCVW 2021 Fast Robust Tensor Principal Component Analysis via Fiber CUR Decomposition * HanQin Cai, Zehan Chao, Longxiu Huang, Deanna Needell

JMLR 2021 Mode-Wise Tensor Decompositions: Multi-Dimensional Generalizations of CUR Decompositions HanQin Cai, Keaton Hamm, Longxiu Huang, Deanna Needell

JMLR 2020 Online Matrix Factorization for Markovian Data and Applications to Network Dictionary Learning Hanbaek Lyu, Deanna Needell, Laura Balzano

JMLR 2018 Simple Classification Using Binary Data Deanna Needell, Rayan Saab, Tina Woolf

NeurIPS 2014 Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz Algorithm Deanna Needell, Rachel Ward, Nati Srebro