Alexander Munteanu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 28

Top Topics

Logistic Regression

Top Venues

Publications

Alexander Munteanu, Simon Omlor
leverage score sampling with applications. CoRR (2024)
Alexander Munteanu, Simon Omlor
augmentation. CoRR (2024)
Susanne Frick, Amer Krivosija, Alexander Munteanu
Scalable Learning of Item Response Theory Models. CoRR (2024)
Susanne Frick, Amer Krivosija, Alexander Munteanu
Scalable Learning of Item Response Theory Models. AISTATS (2024)
Alexander Munteanu, Simon Omlor, David P. Woodruff
and Logistic Regression. CoRR (2023)
Tung Mai, Alexander Munteanu, Cameron Musco, Anup B. Rao, Chris Schwiegelshohn, David P. Woodruff
Optimal Sketching Bounds for Sparse Linear Regression. CoRR (2023)
Tung Mai, Alexander Munteanu, Cameron Musco, Anup Rao, Chris Schwiegelshohn, David P. Woodruff
Optimal Sketching Bounds for Sparse Linear Regression. AISTATS (2023)
Alexander Munteanu, Simon Omlor, David P. Woodruff
Almost Linear Constant-Factor Sketching for $\ell_1$ and Logistic Regression. ICLR (2023)
Alexander Munteanu, Simon Omlor, Zhao Song, David P. Woodruff
Bounding the Width of Neural Networks via Coupled Initialization A Worst Case Analysis. ICML (2022)
Alexander Munteanu, Simon Omlor, Zhao Song, David P. Woodruff
Bounding the Width of Neural Networks via Coupled Initialization - A Worst Case Analysis. CoRR (2022)
Alexander Munteanu, Simon Omlor, Christian Peters
p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets. AISTATS (2022)
Alexander Munteanu, Simon Omlor, Christian Peters
p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets. CoRR (2022)
Alexander Munteanu, Simon Omlor, David P. Woodruff
Oblivious sketching for logistic regression. CoRR (2021)
Alexander Munteanu, Simon Omlor, David P. Woodruff
Oblivious Sketching for Logistic Regression. ICML (2021)
Leo N. Geppert, Katja Ickstadt, Alexander Munteanu, Christian Sohler
Streaming statistical models via Merge & Reduce. Int. J. Data Sci. Anal. 10 (4) (2020)
Amin Nayebi, Alexander Munteanu, Matthias Poloczek
A Framework for Bayesian Optimization in Embedded Subspaces. ICML (2019)
Amer Krivosija, Alexander Munteanu
Probabilistic Smallest Enclosing Ball in High Dimensions via Subgradient Sampling. SoCG (2019)
Stefan Meintrup, Alexander Munteanu, Dennis Rohde
Random projections and sampling algorithms for clustering of high-dimensional polygonal curves. CoRR (2019)
Amer Krivosija, Alexander Munteanu
Probabilistic smallest enclosing ball in high dimensions via subgradient sampling. CoRR (2019)
Stefan Meintrup, Alexander Munteanu, Dennis Rohde
Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves. NeurIPS (2019)
Alexander Munteanu, Chris Schwiegelshohn, Christian Sohler, David P. Woodruff
On Coresets for Logistic Regression. GI-Jahrestagung (2019)
Alexander Munteanu, Chris Schwiegelshohn, Christian Sohler, David P. Woodruff
On Coresets for Logistic Regression. NeurIPS (2018)
Alexander Munteanu, Chris Schwiegelshohn, Christian Sohler, David P. Woodruff
On Coresets for Logistic Regression. CoRR (2018)
Alexander Munteanu, Chris Schwiegelshohn
Coresets-Methods and History: A Theoreticians Design Pattern for Approximation and Streaming Algorithms. Künstliche Intell. 32 (1) (2018)
Alejandro Molina, Alexander Munteanu, Kristian Kersting
Core Dependency Networks. AAAI (2018)
Leo N. Geppert, Katja Ickstadt, Alexander Munteanu, Jens Quedenfeld, Christian Sohler
Random projections for Bayesian regression. Stat. Comput. 27 (1) (2017)
Alejandro Molina, Alexander Munteanu, Kristian Kersting
Coresets for Dependency Networks. CoRR (2017)
Alexander Munteanu, Max Wornowizki
Correcting statistical models via empirical distribution functions. Comput. Stat. 31 (2) (2016)
Leo N. Geppert, Katja Ickstadt, Alexander Munteanu, Jens Quedenfeld, Christian Sohler
Random projections for Bayesian regression. CoRR (2015)
Alexander Munteanu, Christian Sohler, Dan Feldman
Smallest enclosing ball for probabilistic data. SoCG (2014)
Marc Heinrich, Alexander Munteanu, Christian Sohler
Asymptotically exact streaming algorithms. CoRR (2014)