Simon Omlor
6 papers · 2021–2024 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓
π§
Keyword Pioneer
π
Conference Polyglot
(3)
π
Cross-Pollinator
(11)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(11)
Conferences
ICML (4)
AISTATS (1)
ICLR (1)
Keywords
neural tangent kernel
(1)
logistic regression
(1)
convergence analysis
(1)
maximum likelihood
(1)
maximum likelihood estimation
(1)
numerical linear algebra
(1)
coreset construction
(1)
data stream
(1)
generalized linear model
(1)
relu network
(1)
probit regression
(1)
sketching technique
(1)
p-generalized normal distribution
(1)
oblivious sketching
(1)
input sparsity time
(1)
neural network width
(1)
neural network
(1)
coupled initialization
(1)
initialization method
(1)
scalable estimation
(1)
Papers
Optimal bounds for $\ell_p$ sensitivity sampling via $\ell_2$ augmentation
ICML 2024
Turnstile $\ell_p$ leverage score sampling with applications
ICML 2024
Almost Linear Constant-Factor Sketching for $\ell_1$ and Logistic Regression
ICLR 2023
p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets
AISTATS 2022
Bounding the Width of Neural Networks via Coupled Initialization A Worst Case Analysis
ICML 2022
Oblivious Sketching for Logistic Regression
ICML 2021