Maxim Sviridenko
5 papers · 2020–2023 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
📈
Trend Setter
Top co-authors
Research topics
Keywords
compressed sensing
(3)
iterative hard thresholding
(3)
convex optimization
(2)
restricted condition number
(2)
sparse convex optimization
(2)
gradient descent
(1)
matrix completion
(1)
adaptive regularization
(1)
robust principal component analysis
(1)
restricted isometry property
(1)
orthogonal matching pursuit
(1)
condition number
(1)
greedy algorithm
(1)
sparsity constraint
(1)
separable data
(1)
local search algorithm
(1)
hard thresholding
(1)
rank-constrained optimization
(1)
variable learning rate
(1)
linear convergence
(1)
Papers
Gradient Descent Converges Linearly for Logistic Regression on Separable Data
ICML 2023
Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime
ICML 2022
Local Search Algorithms for Rank-Constrained Convex Optimization
ICLR 2021
Sparse Convex Optimization via Adaptively Regularized Hard Thresholding
JMLR 2021
Sparse Convex Optimization via Adaptively Regularized Hard Thresholding
ICML 2020