Alexander Munteanu

44 papers A* 13A 3Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hardness of High-Dimensional Linear Classification. CoRR Alexander Munteanu, Simon Omlor, Jeff M. Phillips
2026	J	`jnl`	Scalable Bayesian p-generalized probit and logistic regression. Adv. Data Anal. Classif. Zeyu Ding, Simon Omlor, Katja Ickstadt, Alexander Munteanu
2026	J	`jnl`	Scalable Learning of Multivariate Distributions via Coresets. CoRR Zeyu Ding, Katja Ickstadt, Nadja Klein, Alexander Munteanu, Simon Omlor
2025	A*	`conf`	Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves. ICML Amer Krivosija, Alexander Munteanu, André Nusser, Chris Schwiegelshohn
2025	J	`jnl`	Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves. CoRR Amer Krivosija, Alexander Munteanu, André Nusser, Chris Schwiegelshohn
2024	A*	`conf`	Data subsampling for Poisson regression with pth-root-link. NeurIPS Han Cheng Lie, Alexander Munteanu
2024	J	`jnl`	Data subsampling for Poisson regression with pth-root-link. CoRR Han Cheng Lie, Alexander Munteanu
2024	J	`jnl`	Optimal bounds for ℓ CoRR Alexander Munteanu, Simon Omlor
2024	A*	`conf`	Optimal bounds for ℓp sensitivity sampling via ℓ2 augmentation. ICML Alexander Munteanu, Simon Omlor
2024	A	`conf`	Scalable Learning of Item Response Theory Models. AISTATS Susanne Frick, Amer Krivosija, Alexander Munteanu
2024	J	`jnl`	Scalable Learning of Item Response Theory Models. CoRR Susanne Frick, Amer Krivosija, Alexander Munteanu
2024	—	`conf`	TU Dortmund - Center for Data Science & Simulation: Data Literacy Education an der TU Dortmund. INFORMATIK Henrike Weinert, Alexander Munteanu
2024	J	`jnl`	Turnstile ℓ CoRR Alexander Munteanu, Simon Omlor
2024	A*	`conf`	Turnstile ℓp leverage score sampling with applications. ICML Alexander Munteanu, Simon Omlor
2023	A*	`conf`	Almost Linear Constant-Factor Sketching for $\ell_1$ and Logistic Regression. ICLR Alexander Munteanu, Simon Omlor, David P. Woodruff
2023	J	`jnl`	Almost Linear Constant-Factor Sketching for 𝓁 CoRR Alexander Munteanu, Simon Omlor, David P. Woodruff
2023	A	`conf`	Optimal Sketching Bounds for Sparse Linear Regression. AISTATS Tung Mai, Alexander Munteanu, Cameron Musco, Anup Rao, Chris Schwiegelshohn, David P. Woodruff
2023	J	`jnl`	Optimal Sketching Bounds for Sparse Linear Regression. CoRR Tung Mai, Alexander Munteanu, Cameron Musco, Anup B. Rao, Chris Schwiegelshohn, David P. Woodruff
2022	—	`ch.`	Bayesian Analysis for Dimensionality and Complexity Reduction. Mach. Learn. under Resour. Constraints Vol. 3 (3) Zeyu Ding, Katja Ickstadt, Alexander Munteanu
2022	J	`jnl`	Bounding the Width of Neural Networks via Coupled Initialization - A Worst Case Analysis. CoRR Alexander Munteanu, Simon Omlor, Zhao Song, David P. Woodruff
2022	A*	`conf`	Bounding the Width of Neural Networks via Coupled Initialization A Worst Case Analysis. ICML Alexander Munteanu, Simon Omlor, Zhao Song, David P. Woodruff
2022	—	`ch.`	Coresets and Sketches for Regression Problems on DataStreams and Distributed Data. Mach. Learn. under Resour. Constraints Vol. 1 (1) Alexander Munteanu
2022	A	`conf`	p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets. AISTATS Alexander Munteanu, Simon Omlor, Christian Peters
2022	J	`jnl`	p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets. CoRR Alexander Munteanu, Simon Omlor, Christian Peters
2021	A*	`conf`	Oblivious Sketching for Logistic Regression. ICML Alexander Munteanu, Simon Omlor, David P. Woodruff
2021	J	`jnl`	Oblivious sketching for logistic regression. CoRR Alexander Munteanu, Simon Omlor, David P. Woodruff
2020	J	`jnl`	Streaming statistical models via Merge & Reduce. Int. J. Data Sci. Anal. Leo N. Geppert, Katja Ickstadt, Alexander Munteanu, Christian Sohler
2019	A*	`conf`	A Framework for Bayesian Optimization in Embedded Subspaces. ICML Amin Nayebi, Alexander Munteanu, Matthias Poloczek
2019	—	`conf`	On Coresets for Logistic Regression. GI-Jahrestagung Alexander Munteanu, Chris Schwiegelshohn, Christian Sohler, David P. Woodruff
2019	A*	`conf`	Probabilistic Smallest Enclosing Ball in High Dimensions via Subgradient Sampling. SoCG Amer Krivosija, Alexander Munteanu
2019	J	`jnl`	Probabilistic smallest enclosing ball in high dimensions via subgradient sampling. CoRR Amer Krivosija, Alexander Munteanu
2019	A*	`conf`	Random Projections and Sampling Algorithms for Clustering of High-Dimensional Polygonal Curves. NeurIPS Stefan Meintrup, Alexander Munteanu, Dennis Rohde
2019	J	`jnl`	Random projections and sampling algorithms for clustering of high-dimensional polygonal curves. CoRR Stefan Meintrup, Alexander Munteanu, Dennis Rohde
2018	A*	`conf`	Core Dependency Networks. AAAI Alejandro Molina, Alexander Munteanu, Kristian Kersting
2018	J	`jnl`	Coresets-Methods and History: A Theoreticians Design Pattern for Approximation and Streaming Algorithms. Künstliche Intell. Alexander Munteanu, Chris Schwiegelshohn
2018	A*	`conf`	On Coresets for Logistic Regression. NeurIPS Alexander Munteanu, Chris Schwiegelshohn, Christian Sohler, David P. Woodruff
2018	J	`jnl`	On Coresets for Logistic Regression. CoRR Alexander Munteanu, Chris Schwiegelshohn, Christian Sohler, David P. Woodruff
2018	—	`—`	On large-scale probabilistic and statistical data analysis Alexander Munteanu
2017	J	`jnl`	Coresets for Dependency Networks. CoRR Alejandro Molina, Alexander Munteanu, Kristian Kersting
2017	J	`jnl`	Random projections for Bayesian regression. Stat. Comput. Leo N. Geppert, Katja Ickstadt, Alexander Munteanu, Jens Quedenfeld, Christian Sohler
2016	J	`jnl`	Correcting statistical models via empirical distribution functions. Comput. Stat. Alexander Munteanu, Max Wornowizki
2015	J	`jnl`	Random projections for Bayesian regression. CoRR Leo N. Geppert, Katja Ickstadt, Alexander Munteanu, Jens Quedenfeld, Christian Sohler
2014	J	`jnl`	Asymptotically exact streaming algorithms. CoRR Marc Heinrich, Alexander Munteanu, Christian Sohler
2014	A*	`conf`	Smallest enclosing ball for probabilistic data. SoCG Alexander Munteanu, Christian Sohler, Dan Feldman