Maxim Sviridenko
5 papers · 2020–2023 · 3 conferences · across top CS/AI conferences
Achievements
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🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(3)
🐝
Cross-Pollinator
(14)
🏆
Keyword Champion
(3)
Conferences
ICML (3)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
compressed sensing
(3)
iterative hard thresholding
(3)
restricted condition number
(2)
sparse convex optimization
(2)
sparse logistic regression
(1)
dynamic regret
(1)
gradient descent
(1)
adaptive regularization
(1)
orthogonal matching pursuit
(1)
linear convergence
(1)
condition number
(1)
sparsity constraint
(1)
separable datum
(1)
hard thresholding
(1)
variable learning rate
(1)
restricted isometry property
(1)
sparse recovery
(1)
convex optimization
(1)
logistic regression
(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