Urmăriți
Alexander Munteanu
Titlu
Citat de
Citat de
Anul
A framework for Bayesian optimization in embedded subspaces
A Nayebi, A Munteanu, M Poloczek
International Conference on Machine Learning, 4752-4761, 2019
1762019
On coresets for logistic regression
A Munteanu, C Schwiegelshohn, C Sohler, D Woodruff
Advances in Neural Information Processing Systems 31, 2018
1222018
Coresets-methods and history: A theoreticians design pattern for approximation and streaming algorithms
A Munteanu, C Schwiegelshohn
KI-Künstliche Intelligenz 32, 37-53, 2018
962018
Random projections for Bayesian regression
LN Geppert, K Ickstadt, A Munteanu, J Quedenfeld, C Sohler
Statistics and Computing 27, 79-101, 2017
582017
Smallest enclosing ball for probabilistic data
A Munteanu, C Sohler, D Feldman
Proceedings of the thirtieth annual symposium on Computational geometry, 214-223, 2014
452014
Core dependency networks
A Molina, A Munteanu, K Kersting
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
332018
Bounding the Width of Neural Networks via Coupled Initialization - A Worst Case Analysis
A Munteanu, S Omlor, Z Song, DP Woodruff
arXiv preprint arXiv:2206.12802, 2022
262022
Oblivious sketching for logistic regression
A Munteanu, S Omlor, D Woodruff
International Conference on Machine Learning, 7861-7871, 2021
262021
Random projections and sampling algorithms for clustering of high-dimensional polygonal curves
S Meintrup, A Munteanu, D Rohde
Advances in Neural Information Processing Systems 32, 2019
162019
Streaming statistical models via Merge & Reduce
LN Geppert, K Ickstadt, A Munteanu, C Sohler
International Journal of Data Science and Analytics 10, 331-347, 2020
132020
-Generalized probit regression and scalable maximum likelihood estimation via sketching and coresets
A Munteanu, S Omlor, C Peters
International Conference on Artificial Intelligence and Statistics, 2073-2100, 2022
112022
Almost Linear Constant-Factor Sketching for and Logistic Regression
A Munteanu, S Omlor, D Woodruff
arXiv preprint arXiv:2304.00051, 2023
92023
3.2 Coresets and Sketches for Regression Problems on Data Streams and Distributed Data
A Munteanu
Machine Learning under Resource Constraints - Fundamentals 1, 85–98, 2023
92023
Optimal sketching bounds for sparse linear regression
T Mai, A Munteanu, C Musco, A Rao, C Schwiegelshohn, D Woodruff
International Conference on Artificial Intelligence and Statistics, 11288-11316, 2023
72023
Probabilistic smallest enclosing ball in high dimensions via subgradient sampling
A Krivošija, A Munteanu
arXiv preprint arXiv:1902.10966, 2019
72019
Asymptotically exact streaming algorithms
M Heinrich, A Munteanu, C Sohler
arXiv preprint arXiv:1408.1847, 2014
72014
Optimal bounds for sensitivity sampling via augmentation
A Munteanu, S Omlor
arXiv preprint arXiv:2406.00328, 2024
62024
Correcting statistical models via empirical distribution functions
A Munteanu, M Wornowizki
Computational Statistics 31, 465-495, 2016
6*2016
Scalable learning of item response theory models
S Frick, A Krivosija, A Munteanu
International Conference on Artificial Intelligence and Statistics, 1234-1242, 2024
52024
On large-scale probabilistic and statistical data analysis
A Munteanu
PhD Thesis, TU Dortmund University, 2018
42018
Sistemul nu poate realiza operația în acest moment. Încercați din nou mai târziu.
Articole 1–20