Sviridenko, Maxim

5 publications

ICML 2023 Gradient Descent Converges Linearly for Logistic Regression on Separable Data Kyriakos Axiotis, Maxim Sviridenko

ICML 2022 Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime Kyriakos Axiotis, Maxim Sviridenko

ICLR 2021 Local Search Algorithms for Rank-Constrained Convex Optimization Kyriakos Axiotis, Maxim Sviridenko

JMLR 2021 Sparse Convex Optimization via Adaptively Regularized Hard Thresholding Kyriakos Axiotis, Maxim Sviridenko

ICML 2020 Sparse Convex Optimization via Adaptively Regularized Hard Thresholding Kyriakos Axiotis, Maxim Sviridenko