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Simon Omlor

6 papers · 2021–2024 · 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

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🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (13)

Venues

ICML (4) AISTATS (1) ICLR (1)

Top co-authors

Alexander Munteanu (6) David Woodruff (3) Christian Peters (1) Zhao Song (1)

Research topics

Machine Learning (6) Mathematics & Optimization (5) Optimization (5) Optimization & Theory Β· Machine Learning (5) Application Areas (3) Core Methods (2) Computer Science (1) Deep Learning (1) Architectures (1) Foundations (1) Mathematics (1) Optimization & Theory Β· Deep Learning (1)

Keywords

logistic regression (2) oblivious sketching (2) input sparsity time (2) vc dimension (1) maximum likelihood estimation (1) coresets (1) numerical linear algebra (1) coreset construction (1) data stream (1) generalized linear model (1) relu network (1) leverage score sampling (1) probit regression (1) sketching technique (1) p-generalized normal distribution (1) subspace embedding (1) preconditioning technique (1) neural network width (1) neural network (1) coupled initialization (1)

Papers

Optimal bounds for β„“_p sensitivity sampling via β„“_2 augmentation ICML 2024 Turnstile β„“_p leverage score sampling with applications ICML 2024 Almost Linear Constant-Factor Sketching for β„“_1 and Logistic Regression ICLR 2023 Bounding the Width of Neural Networks via Coupled Initialization A Worst Case Analysis ICML 2022 p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets AISTATS 2022 Oblivious Sketching for Logistic Regression ICML 2021